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Supplementary material reporting R code for the manuscript ‘Sexual
selection and sexual size dimorphism: a meta-analysis of comparative
studies’.
Additional analyses excluding studies that did not
correct for phylogenetic non-independence (see Supplement 2). # Load and
prepare data Before we started the analyses, we loaded all necessary
packages and data.
rm(list = ls()) # Clear work environment
# Load R-packages ####
=cbind('ape','matrixcalc','metafor','Matrix','MASS','pwr','psych','multcomp','data.table','ggplot2','RColorBrewer','MCMCglmm','ggdist','cowplot','PupillometryR','dplyr','wesanderson')
list_of_packageslapply(list_of_packages, require, character.only = TRUE)
# Load data set ####
<- read.csv("./data/Supplement4_SexSelSSD_V01.csv", sep=";", header=TRUE) # Load data set
MetaData
#Remove studies that did not correct for phylogenetic non-independence
=MetaData[MetaData$PhyloControlled=='Yes',]
MetaData
<- length(summary(as.factor(MetaData$Study_ID))) # Number of included primary studies
N_Studies
<- read.tree("./data/Supplement6_SexSelSSD_V01.txt") # Load phylogenetic tree
Tree
# Prune phylogenetic tree
<- unique(MetaData$Class)
MetaData_Class_Data <-drop.tip(Tree, Tree$tip.label[-na.omit(match(MetaData_Class_Data, Tree$tip.label))])
Tree_Class<- as.matrix(forceSymmetric(vcv(Tree_Class, corr=TRUE)))
forcedC_Moderators
# Order moderator levels
$SexSel_Mode=as.factor(MetaData$SexSel_Mode)
MetaData$SexSel_Mode=relevel(MetaData$SexSel_Mode,c("post-copulatory"))
MetaData$SexSel_Mode=relevel(MetaData$SexSel_Mode,c("pre-copulatory"))
MetaData$SexSel_Sex=as.factor(MetaData$SexSel_Sex)
MetaData$SexSel_Sex=relevel(MetaData$SexSel_Sex,c("Male"))
MetaData
# Set figure theme and colors
=theme(panel.border = element_blank(),
themepanel.background = element_blank(),
panel.grid.major = element_blank(),
panel.grid.minor = element_blank(),
legend.position = c(0.2,0.5),
legend.title = element_blank(),
legend.text = element_text(colour="black", size=12),
axis.line.x = element_line(colour = "black", size = 1),
axis.line.y = element_line(colour = "black", size = 1),
axis.text.x = element_text(face="plain", color="black", size=16, angle=0),
axis.text.y = element_text(face="plain", color="black", size=16, angle=0),
axis.title.x = element_text(size=16,face="plain", margin = margin(r=0,10,0,0)),
axis.title.y = element_text(size=16,face="plain", margin = margin(r=10,0,0,0)),
axis.ticks = element_line(size = 1),
axis.ticks.length = unit(.3, "cm"))
=c("#4DAF4A","#377EB8","#E41A1C")
colpal=brewer.pal(7, 'Dark2')
colpal2=c("grey50","grey65")
colpal4=wes_palette('FantasticFox1', 9, type = c("continuous"))
colpal4=c('grey85','grey50','grey20','black')
Meta_col
# Global models ####
# Phylogenetic Model
= rma.mv(r ~ 1, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index, ~ 1 | Class), R = list(Class = forcedC_Moderators), method = "REML")
Model_REML_Null summary(Model_REML_Null)
# Non-phylogenetic Model
= rma.mv(r ~ 1, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_cREML_Null summary(Model_cREML_Null)
We began the analysis by running global models without additional
moderators.
First, we ran a global model including the
phylogeny:
= rma.mv(r ~ 1, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index, ~ 1 | Class), R = list(Class = forcedC_Moderators), method = "REML")
Model_REML_Null summary(Model_REML_Null)
Multivariate Meta-Analysis Model (k = 77; method: REML)
logLik Deviance AIC BIC AICc
-19.6871 39.3743 47.3743 56.6972 47.9377
Variance Components:
estim sqrt nlvls fixed factor R
sigma^2.1 0.0000 0.0000 45 no Study_ID no
sigma^2.2 0.0757 0.2751 77 no Index no
sigma^2.3 0.0237 0.1539 9 no Class yes
Test for Heterogeneity:
Q(df = 76) = 1182.7000, p-val < .0001
Model Results:
estimate se zval pval ci.lb ci.ub
0.2341 0.0963 2.4321 0.0150 0.0455 0.4228 *
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Second, we ran a global model without the phylogeny:
= rma.mv(r ~ 1, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_cREML_Null summary(Model_cREML_Null)
Multivariate Meta-Analysis Model (k = 77; method: REML)
logLik Deviance AIC BIC AICc
-22.2286 44.4572 50.4572 57.4494 50.7905
Variance Components:
estim sqrt nlvls fixed factor
sigma^2.1 0.0143 0.1195 45 no Study_ID
sigma^2.2 0.0772 0.2778 77 no Index
Test for Heterogeneity:
Q(df = 76) = 1182.7000, p-val < .0001
Model Results:
estimate se zval pval ci.lb ci.ub
0.2393 0.0401 5.9736 <.0001 0.1608 0.3178 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Next, we ran a series of models that test the effect of different
moderators.
Again we started with models including the
phylogeny.
The first model explores the effect of the sexual selection mode (i.e. pre-copulatory, post-copulatory or both):
$SexSel_Mode=relevel(MetaData$SexSel_Mode,c("pre-copulatory"))
MetaData= rma.mv(r ~ factor(SexSel_Mode), V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index, ~ 1 | Class), R = list(Class = forcedC_Moderators), method = "REML")
Model_REML_by_SexSelMode summary(Model_REML_by_SexSelMode)
Multivariate Meta-Analysis Model (k = 77; method: REML)
logLik Deviance AIC BIC AICc
-7.6879 15.3757 27.3757 41.2001 28.6294
Variance Components:
estim sqrt nlvls fixed factor R
sigma^2.1 0.0013 0.0361 45 no Study_ID no
sigma^2.2 0.0489 0.2212 77 no Index no
sigma^2.3 0.0231 0.1519 9 no Class yes
Test for Residual Heterogeneity:
QE(df = 74) = 944.4229, p-val < .0001
Test of Moderators (coefficients 2:3):
QM(df = 2) = 30.0173, p-val < .0001
Model Results:
estimate se zval pval ci.lb
intrcpt 0.2305 0.0954 2.4172 0.0156 0.0436
factor(SexSel_Mode)post-copulatory -0.4418 0.1035 -4.2669 <.0001 -0.6447
factor(SexSel_Mode)both 0.1330 0.0653 2.0381 0.0415 0.0051
ci.ub
intrcpt 0.4174 *
factor(SexSel_Mode)post-copulatory -0.2388 ***
factor(SexSel_Mode)both 0.2610 *
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
We then re-leveled the model for post-hoc comparisons:
$SexSel_Mode=relevel(MetaData$SexSel_Mode,c("post-copulatory"))
MetaData= rma.mv(r ~ factor(SexSel_Mode), V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index, ~ 1 | Class), R = list(Class = forcedC_Moderators), method = "REML")
Model_REML_by_SexSelMode2 summary(Model_REML_by_SexSelMode2)
$SexSel_Mode=relevel(MetaData$SexSel_Mode,c("both"))
MetaData= rma.mv(r ~ factor(SexSel_Mode), V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index, ~ 1 | Class), R = list(Class = forcedC_Moderators), method = "REML")
Model_REML_by_SexSelMode3 summary(Model_REML_by_SexSelMode3)
Finally, we computed FDR corrected p-values:
=as.data.frame(round(p.adjust(c(0.0029, 0.1203, .0001), method = 'fdr'),digit=3),row.names=cbind("Pre-copulatory","Post-copulatory","Both"))
tab1colnames(tab1)<-cbind('P-value')
tab1
P-value
Pre-copulatory 0.004
Post-copulatory 0.120
Both 0.000
Here we plot the sexual selection mode moderator:
$SexSel_Mode=factor(MetaData$SexSel_Mode, levels = c("both","post-copulatory" ,"pre-copulatory"))
MetaData
ggplot(MetaData, aes(x=SexSel_Mode, y=r, fill = SexSel_Mode, colour = SexSel_Mode)) +
geom_hline(yintercept=0, linetype="longdash", color = "black", linewidth=1)+
geom_flat_violin(position = position_nudge(x = 0.25, y = 0),adjust =1, trim = F,alpha=0.6)+
geom_point(position = position_jitter(width = .1), size = 2.5,alpha=0.6,stroke=0,shape=19)+
geom_point(inherit.aes = F,mapping = aes(y=Model_REML_by_SexSelMode$b[1,1], x=3.25), size = 3.5,alpha=1,stroke=0,shape=19,color='grey30')+
geom_point(inherit.aes = F,mapping = aes(y=Model_REML_by_SexSelMode2$b[1,1], x=2.25), size = 3.5,alpha=1,stroke=0,shape=19,color='grey30')+
geom_point(inherit.aes = F,mapping = aes(y=Model_REML_by_SexSelMode3$b[1,1], x=1.25), size = 3.5,alpha=1,stroke=0,shape=19,color='grey30')+
geom_segment(inherit.aes = F,mapping = aes(y=Model_REML_by_SexSelMode$ci.lb[1], x=3.25, xend= 3.25, yend= Model_REML_by_SexSelMode$ci.ub[1]), alpha=1,linewidth=1,color='grey30')+
geom_segment(inherit.aes = F,mapping = aes(y=Model_REML_by_SexSelMode2$ci.lb[1], x=2.25, xend= 2.25, yend= Model_REML_by_SexSelMode2$ci.ub[1]), alpha=1,linewidth=1,color='grey30')+
geom_segment(inherit.aes = F,mapping = aes(y=Model_REML_by_SexSelMode3$ci.lb[1], x=1.25, xend= 1.25, yend= Model_REML_by_SexSelMode3$ci.ub[1]), alpha=1,linewidth=1,color='grey30')+
ylab(expression(paste("Effect size (", italic("r"),')')))+xlab('Sexual selection mode')+coord_flip()+guides(fill = FALSE, colour = FALSE) +
scale_color_manual(values =colpal)+
scale_fill_manual(values =colpal)+
scale_x_discrete(labels=c("Both","Post-copulatory" ,"Pre-copulatory"),expand=c(.1,0))+
annotate("text", x=1, y=1.2, label= "n = 37",size=4.5) +
annotate("text", x=2, y=1.2, label= "n = 9",size=4.5) +
annotate("text", x=3, y=1.2, label= "n = 39",size=4.5) + theme
Figure 2: Raincloud plot of correlation coefficients between SSD and the modes of sexual selection proxies (i.e. pre-copulatory, post-copulatory or both) including sample sizes and estimates with 95%CI from phylogenetic model.
Next we explored the effect of the sexual selection category (i.e. density, mating system, operational sex ratio (OSR), post-mating competition, pre-mating competition, trait-based, other):
$SexSel_Category=as.factor(MetaData$SexSel_Category)
MetaData$SexSel_Category=relevel(MetaData$SexSel_Category,c("Postmating competition"))
MetaData= rma.mv(r ~ factor(SexSel_Category), V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index, ~ 1 | Class), R = list(Class = forcedC_Moderators), method = "REML")
Model_REML_by_SexSelCat summary(Model_REML_by_SexSelCat)
Multivariate Meta-Analysis Model (k = 77; method: REML)
logLik Deviance AIC BIC AICc
1.5992 -3.1985 16.8015 39.2865 20.5304
Variance Components:
estim sqrt nlvls fixed factor R
sigma^2.1 0.0099 0.0995 45 no Study_ID no
sigma^2.2 0.0280 0.1674 77 no Index no
sigma^2.3 0.0211 0.1452 9 no Class yes
Test for Residual Heterogeneity:
QE(df = 70) = 614.1683, p-val < .0001
Test of Moderators (coefficients 2:7):
QM(df = 6) = 64.7133, p-val < .0001
Model Results:
estimate se zval pval
intrcpt -0.2406 0.1219 -1.9737 0.0484
factor(SexSel_Category)Density 0.4303 0.1370 3.1415 0.0017
factor(SexSel_Category)Mating system 0.5912 0.1037 5.7025 <.0001
factor(SexSel_Category)OSR 0.8225 0.1502 5.4765 <.0001
factor(SexSel_Category)Other 0.5567 0.1141 4.8791 <.0001
factor(SexSel_Category)Premating competition 0.5294 0.1022 5.1790 <.0001
factor(SexSel_Category)Trait-based 0.1821 0.1149 1.5850 0.1130
ci.lb ci.ub
intrcpt -0.4795 -0.0017 *
factor(SexSel_Category)Density 0.1618 0.6988 **
factor(SexSel_Category)Mating system 0.3880 0.7944 ***
factor(SexSel_Category)OSR 0.5282 1.1169 ***
factor(SexSel_Category)Other 0.3331 0.7803 ***
factor(SexSel_Category)Premating competition 0.3290 0.7297 ***
factor(SexSel_Category)Trait-based -0.0431 0.4073
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
We then re-leveled the model for post-hoc comparisons:
$SexSel_Category=relevel(MetaData$SexSel_Category,c("Trait-based"))
MetaData= rma.mv(r ~ factor(SexSel_Category), V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index, ~ 1 | Class), R = list(Class = forcedC_Moderators), method = "REML")
Model_REML_by_SexSelCat2 summary(Model_REML_by_SexSelCat2)
$SexSel_Category=relevel(MetaData$SexSel_Category,c("Density"))
MetaData= rma.mv(r ~ factor(SexSel_Category), V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index, ~ 1 | Class), R = list(Class = forcedC_Moderators), method = "REML")
Model_REML_by_SexSelCat3 summary(Model_REML_by_SexSelCat3)
$SexSel_Category=relevel(MetaData$SexSel_Category,c("Premating competition"))
MetaData= rma.mv(r ~ factor(SexSel_Category), V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index, ~ 1 | Class), R = list(Class = forcedC_Moderators), method = "REML")
Model_REML_by_SexSelCat4 summary(Model_REML_by_SexSelCat4)
$SexSel_Category=relevel(MetaData$SexSel_Category,c("Mating system"))
MetaData= rma.mv(r ~ factor(SexSel_Category), V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index, ~ 1 | Class), R = list(Class = forcedC_Moderators), method = "REML")
Model_REML_by_SexSelCat5 summary(Model_REML_by_SexSelCat5)
$SexSel_Category=relevel(MetaData$SexSel_Category,c("OSR"))
MetaData= rma.mv(r ~ factor(SexSel_Category), V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index, ~ 1 | Class), R = list(Class = forcedC_Moderators), method = "REML")
Model_REML_by_SexSelCat6 summary(Model_REML_by_SexSelCat6)
$SexSel_Category=relevel(MetaData$SexSel_Category,c("Other"))
MetaData= rma.mv(r ~ factor(SexSel_Category), V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index, ~ 1 | Class), R = list(Class = forcedC_Moderators), method = "REML")
Model_REML_by_SexSelCat7 summary(Model_REML_by_SexSelCat7)
Finally, we computed FDR corrected p-values:
=as.data.frame(round(p.adjust(c(0.0705, 0.5745, 0.1057, 0.0002, .0001, .0001, 0.0011), method = 'fdr'),digit=3),row.names=cbind("Postmating competition","Trait-based","Density",'Premating competition',"Mating system","OSR","Other"))
tab2colnames(tab2)<-cbind('P-value')
tab2
P-value
Postmating competition 0.099
Trait-based 0.575
Density 0.123
Premating competition 0.000
Mating system 0.000
OSR 0.000
Other 0.002
Here we plot the sexual selection category moderator:
$SexSel_Category=factor(MetaData$SexSel_Category, levels = rev(c( "Postmating competition","Trait-based" ,"Density","Premating competition" ,"Mating system" , "OSR", "Other")))
MetaData
ggplot(MetaData, aes(x=SexSel_Category, y=r, fill = SexSel_Category, colour = SexSel_Category)) +
geom_hline(yintercept=0, linetype="longdash", color = "black", linewidth=1)+
geom_flat_violin(position = position_nudge(x = 0.25, y = 0),adjust =1, trim = F,alpha=0.6)+
geom_point(position = position_jitter(width = .1), size = 2.5,alpha=0.6,stroke=0,shape=19)+
geom_point(inherit.aes = F,mapping = aes(y=Model_REML_by_SexSelCat$b[1,1], x=7.25), size = 3.5,alpha=1,stroke=0,shape=19,color='grey30')+
geom_point(inherit.aes = F,mapping = aes(y=Model_REML_by_SexSelCat2$b[1,1], x=6.25), size = 3.5,alpha=1,stroke=0,shape=19,color='grey30')+
geom_point(inherit.aes = F,mapping = aes(y=Model_REML_by_SexSelCat3$b[1,1], x=5.25), size = 3.5,alpha=1,stroke=0,shape=19,color='grey30')+
geom_point(inherit.aes = F,mapping = aes(y=Model_REML_by_SexSelCat4$b[1,1], x=4.25), size = 3.5,alpha=1,stroke=0,shape=19,color='grey30')+
geom_point(inherit.aes = F,mapping = aes(y=Model_REML_by_SexSelCat5$b[1,1], x=3.25), size = 3.5,alpha=1,stroke=0,shape=19,color='grey30')+
geom_point(inherit.aes = F,mapping = aes(y=Model_REML_by_SexSelCat6$b[1,1], x=2.25), size = 3.5,alpha=1,stroke=0,shape=19,color='grey30')+
geom_point(inherit.aes = F,mapping = aes(y=Model_REML_by_SexSelCat7$b[1,1], x=1.25), size = 3.5,alpha=1,stroke=0,shape=19,color='grey30')+
geom_segment(inherit.aes = F,mapping = aes(y=Model_REML_by_SexSelCat$ci.lb[1], x=7.25, xend= 7.25, yend= Model_REML_by_SexSelCat$ci.ub[1]), alpha=1,linewidth=1,color='grey30')+
geom_segment(inherit.aes = F,mapping = aes(y=Model_REML_by_SexSelCat2$ci.lb[1], x=6.25, xend= 6.25, yend= Model_REML_by_SexSelCat2$ci.ub[1]), alpha=1,linewidth=1,color='grey30')+
geom_segment(inherit.aes = F,mapping = aes(y=Model_REML_by_SexSelCat3$ci.lb[1], x=5.25, xend= 5.25, yend= Model_REML_by_SexSelCat3$ci.ub[1]), alpha=1,linewidth=1,color='grey30')+
geom_segment(inherit.aes = F,mapping = aes(y=Model_REML_by_SexSelCat4$ci.lb[1], x=4.25, xend= 4.25, yend= Model_REML_by_SexSelCat4$ci.ub[1]), alpha=1,linewidth=1,color='grey30')+
geom_segment(inherit.aes = F,mapping = aes(y=Model_REML_by_SexSelCat5$ci.lb[1], x=3.25, xend= 3.25, yend= Model_REML_by_SexSelCat5$ci.ub[1]), alpha=1,linewidth=1,color='grey30')+
geom_segment(inherit.aes = F,mapping = aes(y=Model_REML_by_SexSelCat6$ci.lb[1], x=2.25, xend= 2.25, yend= Model_REML_by_SexSelCat6$ci.ub[1]), alpha=1,linewidth=1,color='grey30')+
geom_segment(inherit.aes = F,mapping = aes(y=Model_REML_by_SexSelCat7$ci.lb[1], x=1.25, xend= 1.25, yend= Model_REML_by_SexSelCat7$ci.ub[1]), alpha=1,linewidth=1,color='grey30')+
ylab(expression(paste("Effect size (", italic("r"),')')))+xlab('Sexual selection category')+coord_flip()+guides(fill = FALSE, colour = FALSE) +
scale_color_manual(values =colpal2)+
scale_fill_manual(values =colpal2)+
scale_x_discrete(labels=rev(c( "Post-mating\ncompetition","Trait-based" ,"Density","Pre-mating\ncompetition" ,"Mating\nsystem" , "OSR", "Other")),expand=c(.1,0))+
annotate("text", x=7, y=1.2, label= "n = 9",size=4.5) +
annotate("text", x=6, y=1.2, label= "n = 12",size=4.5) +
annotate("text", x=5, y=1.2, label= "n = 5",size=4.5) +
annotate("text", x=4, y=1.2, label= "n = 18",size=4.5) +
annotate("text", x=3, y=1.2, label= "n = 23",size=4.5) +
annotate("text", x=2, y=1.2, label= "n = 6",size=4.5) +
annotate("text", x=1, y=1.2, label= "n = 12",size=4.5) + theme
Figure S1: Raincloud plot of correlation coefficients between SSD and different sexual selection categories including sample sizes and estimates with 95%CI from phylogenetic model.
Next we explored the effect of the sex-bias in SSD (i.e. the proportion of female biased species within each study):
= rma.mv(r ~ SSD_SexBias_in_perc_F, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index, ~ 1 | Class), R = list(Class = forcedC_Moderators), method = "REML")
Model_REML_by_SSDBias summary(Model_REML_by_SSDBias)
Multivariate Meta-Analysis Model (k = 71; method: REML)
logLik Deviance AIC BIC AICc
-16.6994 33.3989 43.3989 54.5694 44.3512
Variance Components:
estim sqrt nlvls fixed factor R
sigma^2.1 0.0000 0.0000 41 no Study_ID no
sigma^2.2 0.0715 0.2674 71 no Index no
sigma^2.3 0.0314 0.1771 9 no Class yes
Test for Residual Heterogeneity:
QE(df = 69) = 1121.4981, p-val < .0001
Test of Moderators (coefficient 2):
QM(df = 1) = 0.0634, p-val = 0.8011
Model Results:
estimate se zval pval ci.lb ci.ub
intrcpt 0.2586 0.1348 1.9181 0.0551 -0.0056 0.5228 .
SSD_SexBias_in_perc_F -0.0004 0.0016 -0.2519 0.8011 -0.0035 0.0027
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Here we plot the sex-bias in SSD:
# Extract model predictions for figure
= rma.mv(r ~ SSD_SexBias_in_perc_F, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index, ~ 1 | Class), R = list(Class = forcedC_Moderators), method = "REML")
Model_REML_by_SexBias <- predict(Model_REML_by_SexBias)
model_p =MetaData[ !is.na(MetaData$SSD_SexBias_in_perc_F),]
MetaData_SexBias<-cbind(MetaData_SexBias, model_p$pred,model_p$ci.lb,model_p$ci.ub)
preds
ggplot(preds, aes(x=SSD_SexBias_in_perc_F, y=r)) +
theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),panel.background = element_blank(), axis.line = element_line(colour = "black"))+
theme(axis.text=element_text(size=13),
axis.title=element_text(size=14))+ theme(legend.position="none")+
geom_point(shape=16, size = 3,alpha=0.5)+xlab('% female biased species')+ylab(expression(paste("Effect size (", italic("r"),')')))+
geom_hline(yintercept=0, linetype="dashed", color = "black", linewidth=1)+
geom_line( aes(y = model_p$pred), size = 1)+
geom_ribbon( aes(ymin = model_p$ci.lb, ymax = model_p$ci.ub, color = 'black',linetype=NA), alpha = .15,show.legend = F, outline.type = "both") +
theme
Figure S2: Scatter plot of correlation coefficients against the proportion of female biased species within each study. Dashed line marks a correlation coefficient of zero, black line represents predictions from REML model (controlling for phylogeny) and grey area represents 95% CI on model predictions.
Next we explored the effect of the type of SSD measure (i.e. body mass or size):
$SSD_Proxy=as.factor(MetaData$SSD_Proxy)
MetaData$SSD_Proxy=relevel(MetaData$SSD_Proxy,c("Body mass"))
MetaData= rma.mv(r ~ SSD_Proxy, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index, ~ 1 | Class), R = list(Class = forcedC_Moderators), method = "REML")
Model_REML_by_SSDMeasure summary(Model_REML_by_SSDMeasure)
Multivariate Meta-Analysis Model (k = 75; method: REML)
logLik Deviance AIC BIC AICc
-19.3875 38.7751 48.7751 60.2274 49.6706
Variance Components:
estim sqrt nlvls fixed factor R
sigma^2.1 0.0000 0.0000 44 no Study_ID no
sigma^2.2 0.0799 0.2826 75 no Index no
sigma^2.3 0.0120 0.1095 9 no Class yes
Test for Residual Heterogeneity:
QE(df = 73) = 1137.0026, p-val < .0001
Test of Moderators (coefficient 2):
QM(df = 1) = 2.4142, p-val = 0.1202
Model Results:
estimate se zval pval ci.lb ci.ub
intrcpt 0.3354 0.1021 3.2857 0.0010 0.1353 0.5354 **
SSD_ProxyBody size -0.1372 0.0883 -1.5538 0.1202 -0.3102 0.0359
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
We then re-leveled the model for post-hoc comparisons:
$SSD_Proxy=relevel(MetaData$SSD_Proxy,c("Body size"))
MetaData= rma.mv(r ~ SSD_Proxy, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index, ~ 1 | Class), R = list(Class = forcedC_Moderators), method = "REML")
Model_REML_by_SSDMeasure2 summary(Model_REML_by_SSDMeasure2)
Finally, we computed FDR corrected p-values:
=as.data.frame(round(p.adjust(c(0.0004, 0.0008), method = 'fdr'),digit=3),row.names=cbind("Body mass","Body size"))
tab3colnames(tab3)<-cbind('P-value')
tab3
P-value
Body mass 0.001
Body size 0.001
Here we plot the type of SSD measure moderator:
=MetaData[!is.na(MetaData$SSD_Proxy),]
MetaData_NAProxy$SSD_Proxy=as.factor(MetaData_NAProxy$SSD_Proxy)
MetaData_NAProxy$SSD_Proxy=relevel(MetaData_NAProxy$SSD_Proxy,c("Body size"))
MetaData_NAProxy
ggplot(MetaData_NAProxy, aes(x=SSD_Proxy, y=r, fill = SSD_Proxy, colour = SSD_Proxy)) +
geom_hline(yintercept=0, linetype="longdash", color = "black", linewidth=1)+
geom_flat_violin(position = position_nudge(x = 0.25, y = 0),adjust =1, trim = F,alpha=0.6)+
geom_point(position = position_jitter(width = .1), size = 2.5,alpha=0.6,stroke=0,shape=19)+
geom_point(inherit.aes = F,mapping = aes(y=Model_REML_by_SSDMeasure$b[1,1], x=2.25), size = 3.5,alpha=1,stroke=0,shape=19,color='grey30')+
geom_point(inherit.aes = F,mapping = aes(y=Model_REML_by_SSDMeasure2$b[1,1], x=1.25), size = 3.5,alpha=1,stroke=0,shape=19,color='grey30')+
geom_segment(inherit.aes = F,mapping = aes(y=Model_REML_by_SSDMeasure$ci.lb[1], x=2.25, xend= 2.25, yend= Model_REML_by_SSDMeasure$ci.ub[1]), alpha=1,linewidth=1,color='grey30')+
geom_segment(inherit.aes = F,mapping = aes(y=Model_REML_by_SSDMeasure2$ci.lb[1], x=1.25, xend= 1.25, yend= Model_REML_by_SSDMeasure2$ci.ub[1]), alpha=1,linewidth=1,color='grey30')+
ylab(expression(paste("Effect size (", italic("r"),')')))+xlab('Type of SSD measure')+coord_flip()+guides(fill = FALSE, colour = FALSE) +
scale_color_manual(values =colpal4)+
scale_fill_manual(values =colpal4)+
scale_x_discrete(labels=rev(c("Body mass","Body size")),expand=c(.15,0))+
annotate("text", x=2, y=1.2, label= "n = 37",size=4.5) +
annotate("text", x=1, y=1.2, label= "n = 46",size=4.5) + theme
Figure S3: Raincloud plot of correlation coefficients for different types of SSD measures (i.e. body mass or size) including sample sizes and estimates with 95%CI from phylogenetic model.
Next we explored the effect if the primary study controlled the SSD for body size (i.e. uncontrolled or controlled):
$BodySizeControlled=as.factor(MetaData$BodySizeControlled)
MetaData$BodySizeControlled=relevel(MetaData$BodySizeControlled,c("No"))
MetaData= rma.mv(r ~ BodySizeControlled, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index, ~ 1 | Class), R = list(Class = forcedC_Moderators), method = "REML")
Model_REML_by_BodySizeCont summary(Model_REML_by_BodySizeCont)
Multivariate Meta-Analysis Model (k = 77; method: REML)
logLik Deviance AIC BIC AICc
-19.8069 39.6139 49.6139 61.2013 50.4835
Variance Components:
estim sqrt nlvls fixed factor R
sigma^2.1 0.0000 0.0000 45 no Study_ID no
sigma^2.2 0.0768 0.2772 77 no Index no
sigma^2.3 0.0236 0.1537 9 no Class yes
Test for Residual Heterogeneity:
QE(df = 75) = 1181.8972, p-val < .0001
Test of Moderators (coefficient 2):
QM(df = 1) = 0.0691, p-val = 0.7927
Model Results:
estimate se zval pval ci.lb ci.ub
intrcpt 0.2405 0.0995 2.4185 0.0156 0.0456 0.4355 *
BodySizeControlledYes -0.0266 0.1013 -0.2628 0.7927 -0.2252 0.1719
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
We then re-leveled the model for post-hoc comparisons:
$BodySizeControlled=relevel(MetaData$BodySizeControlled,c("Yes"))
MetaData= rma.mv(r ~ BodySizeControlled, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index, ~ 1 | Class), R = list(Class = forcedC_Moderators), method = "REML")
Model_REML_by_BodySizeCont2 summary(Model_REML_by_BodySizeCont2)
Finally, we computed FDR corrected p-values:
=as.data.frame(round(p.adjust(c(0.0006, 0.0337), method = 'fdr'),digit=3),row.names=cbind("uncontrolled","controlled"))
tab4colnames(tab4)<-cbind('P-value')
tab4
P-value
uncontrolled 0.001
controlled 0.034
Here we plot effect sizes if type of SSD measure controlled for body size:
$BodySizeControlled=as.factor(MetaData$BodySizeControlled)
MetaData$BodySizeControlled=relevel(MetaData$BodySizeControlled,c("Yes"))
MetaData
ggplot(MetaData, aes(x=BodySizeControlled, y=r, fill = BodySizeControlled, colour = BodySizeControlled)) +
geom_hline(yintercept=0, linetype="longdash", color = "black", linewidth=1)+
geom_flat_violin(position = position_nudge(x = 0.25, y = 0),adjust =1, trim = F,alpha=0.6)+
geom_point(position = position_jitter(width = .1), size = 2.5,alpha=0.6,stroke=0,shape=19)+
geom_point(inherit.aes = F,mapping = aes(y=Model_REML_by_BodySizeCont$b[1,1], x=2.25), size = 3.5,alpha=1,stroke=0,shape=19,color='grey30')+
geom_point(inherit.aes = F,mapping = aes(y=Model_REML_by_BodySizeCont2$b[1,1], x=1.25), size = 3.5,alpha=1,stroke=0,shape=19,color='grey30')+
geom_segment(inherit.aes = F,mapping = aes(y=Model_REML_by_BodySizeCont$ci.lb[1], x=2.25, xend= 2.25, yend= Model_REML_by_BodySizeCont$ci.ub[1]), alpha=1,linewidth=1,color='grey30')+
geom_segment(inherit.aes = F,mapping = aes(y=Model_REML_by_BodySizeCont2$ci.lb[1], x=1.25, xend= 1.25, yend= Model_REML_by_BodySizeCont2$ci.ub[1]), alpha=1,linewidth=1,color='grey30')+
ylab(expression(paste("Effect size (", italic("r"),')')))+xlab('SSD controlled for body size?')+coord_flip()+guides(fill = FALSE, colour = FALSE) +
scale_color_manual(values =colpal4)+
scale_fill_manual(values =colpal4)+
scale_x_discrete(labels=(c("Controlled","Uncontrolled")),expand=c(.15,0))+
annotate("text", x=2, y=1.2, label= "n = 69",size=4.5) +
annotate("text", x=1, y=1.2, label= "n = 16",size=4.5) + theme
Figure S4: Raincloud plot of correlation coefficients for primary studies controlling SSD for body size or mass (uncontrolled or controlled) including sample sizes and estimates with 95%CI from phylogenetic model.
Next we explored the effect of the number of taxa within each study:
= rma.mv(r ~ TaxaNumber, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index, ~ 1 | Class), R = list(Class = forcedC_Moderators), method = "REML")
Model_REML_by_TaxaNumber summary(Model_REML_by_TaxaNumber)
Multivariate Meta-Analysis Model (k = 77; method: REML)
logLik Deviance AIC BIC AICc
-19.4847 38.9695 48.9695 60.5569 49.8390
Variance Components:
estim sqrt nlvls fixed factor R
sigma^2.1 0.0000 0.0000 45 no Study_ID no
sigma^2.2 0.0764 0.2764 77 no Index no
sigma^2.3 0.0205 0.1431 9 no Class yes
Test for Residual Heterogeneity:
QE(df = 75) = 1006.7328, p-val < .0001
Test of Moderators (coefficient 2):
QM(df = 1) = 1.0179, p-val = 0.3130
Model Results:
estimate se zval pval ci.lb ci.ub
intrcpt 0.2471 0.0927 2.6666 0.0077 0.0655 0.4287 **
TaxaNumber -0.0001 0.0001 -1.0089 0.3130 -0.0003 0.0001
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Here we plot the taxa number:
# Extract model predictions
= rma.mv(r ~ log(TaxaNumber), V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index, ~ 1 | Class), R = list(Class = forcedC_Moderators), method = "REML")
Model_REML_by_TaxaNumber <- predict(Model_REML_by_TaxaNumber)
model_p <-cbind(MetaData, model_p$pred,model_p$ci.lb,model_p$ci.ub)
preds
ggplot(MetaData, aes(x=log(as.numeric(TaxaNumber)), y=r)) +
theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),panel.background = element_blank(), axis.line = element_line(colour = "black"))+
theme(axis.text=element_text(size=13),
axis.title=element_text(size=14))+ theme(legend.position="none")+ylab(expression(paste("Effect size (", italic("r"),')')))+
geom_point(shape=16, size = 3,alpha=0.5)+xlab('log Taxa number')+
geom_hline(yintercept=0, linetype="dashed", color = "black", linewidth=1)+
geom_line( aes(y = model_p$pred), size = 1)+
geom_ribbon( aes(ymin = model_p$ci.lb, ymax = model_p$ci.ub, color = 'black',linetype=NA), alpha = .15,show.legend = F, outline.type = "both") +
theme
Figure S6: Scatter plot of correlation coefficients against the natural logarithm of the number of taxa included in each study. Dashed line marks a correlation coefficient of zero, black line represents predictions from REML model (controlling for phylogeny) and grey area represents 95% CI on model predictions.
Next we explored the effect of the publication year of each study:
= rma.mv(r ~ Year, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index, ~ 1 | Class), R = list(Class = forcedC_Moderators), method = "REML",control=list(rel.tol=1e-8))
Model_REML_by_Year summary(Model_REML_by_Year)
Multivariate Meta-Analysis Model (k = 77; method: REML)
logLik Deviance AIC BIC AICc
-19.5055 39.0110 49.0110 60.5985 49.8806
Variance Components:
estim sqrt nlvls fixed factor R
sigma^2.1 0.0000 0.0001 45 no Study_ID no
sigma^2.2 0.0754 0.2745 77 no Index no
sigma^2.3 0.0248 0.1575 9 no Class yes
Test for Residual Heterogeneity:
QE(df = 75) = 1060.4395, p-val < .0001
Test of Moderators (coefficient 2):
QM(df = 1) = 0.8325, p-val = 0.3616
Model Results:
estimate se zval pval ci.lb ci.ub
intrcpt 7.7711 8.2609 0.9407 0.3469 -8.4200 23.9622
Year -0.0037 0.0041 -0.9124 0.3616 -0.0118 0.0043
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Here we plot the publication yea:
# Extract model predictions
= rma.mv(r ~ Year, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index, ~ 1 | Class), R = list(Class = forcedC_Moderators), method = "REML",control=list(rel.tol=1e-8))
Model_REML_by_Year <- predict(Model_REML_by_Year)
model_p <-cbind(MetaData, model_p$pred,model_p$ci.lb,model_p$ci.ub)
preds
ggplot(preds, aes(x=as.numeric(Year), y=r)) +
theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),panel.background = element_blank(), axis.line = element_line(colour = "black"))+
theme(axis.text=element_text(size=13),
axis.title=element_text(size=14))+ theme(legend.position="none")+
geom_point(shape=16, size = 3,alpha=0.5)+xlab('Publication year')+ylab(expression(paste("Effect size (", italic("r"),')')))+
geom_hline(yintercept=0, linetype="dashed", color = "black", linewidth=1)+
geom_line( aes(y = model_p$pred), size = 1)+
geom_ribbon( aes(ymin = model_p$ci.lb, ymax = model_p$ci.ub, color = 'black',linetype=NA), alpha = .15,show.legend = F, outline.type = "both") +
theme
Figure S7: Scatter plot of correlation coefficients against the publication year of each study. Dashed line marks a correlation coefficient of zero, black line represents predictions from REML model (controlling for phylogeny) and grey area represents 95% CI on model predictions.
Here we ran all models without the phylogeny.
The first model explores the effect of the sexual selection mode (i.e. pre-copulatory, post-copulatory or both):
$SexSel_Mode=relevel(MetaData$SexSel_Mode,c("pre-copulatory"))
MetaData= rma.mv(r ~ factor(SexSel_Mode), V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_REML_by_cSexSelMode summary(Model_REML_by_cSexSelMode)
Multivariate Meta-Analysis Model (k = 77; method: REML)
logLik Deviance AIC BIC AICc
-11.4194 22.8387 32.8387 44.3590 33.7211
Variance Components:
estim sqrt nlvls fixed factor
sigma^2.1 0.0094 0.0969 45 no Study_ID
sigma^2.2 0.0567 0.2381 77 no Index
Test for Residual Heterogeneity:
QE(df = 74) = 944.4229, p-val < .0001
Test of Moderators (coefficients 2:3):
QM(df = 2) = 25.9764, p-val < .0001
Model Results:
estimate se zval pval ci.lb
intrcpt 0.2187 0.0492 4.4484 <.0001 0.1223
factor(SexSel_Mode)both 0.1643 0.0710 2.3126 0.0207 0.0251
factor(SexSel_Mode)post-copulatory -0.4065 0.1105 -3.6780 0.0002 -0.6232
ci.ub
intrcpt 0.3150 ***
factor(SexSel_Mode)both 0.3036 *
factor(SexSel_Mode)post-copulatory -0.1899 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
We then re-leveled the model for post-hoc comparisons:
$SexSel_Mode=relevel(MetaData$SexSel_Mode,c("post-copulatory"))
MetaData= rma.mv(r ~ factor(SexSel_Mode), V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_REML_by_cSexSelMode2 summary(Model_REML_by_cSexSelMode2)
$SexSel_Mode=relevel(MetaData$SexSel_Mode,c("both"))
MetaData= rma.mv(r ~ factor(SexSel_Mode), V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_REML_by_cSexSelMode3 summary(Model_REML_by_cSexSelMode3)
Finally, we computed FDR corrected p-values:
=as.data.frame(round(p.adjust(c(0.0001, 0.0756, .0001), method = 'fdr'),digit=3),row.names=cbind("Pre-copulatory","Post-copulatory","Both"))
tab1colnames(tab1)<-cbind('P-value')
tab1
P-value
Pre-copulatory 0.000
Post-copulatory 0.076
Both 0.000
Next we explored the effect of the sexual selection category (i.e. density, mating system, operational sex ratio (OSR), post-mating competition, pre-mating competition, trait-based, other):
$SexSel_Category=as.factor(MetaData$SexSel_Category)
MetaData$SexSel_Category=relevel(MetaData$SexSel_Category,c("Postmating competition"))
MetaData= rma.mv(r ~ factor(SexSel_Category), V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_REML_by_cSexSelCat summary(Model_REML_by_cSexSelCat)
Multivariate Meta-Analysis Model (k = 77; method: REML)
logLik Deviance AIC BIC AICc
-0.3304 0.6607 18.6607 38.8972 21.6607
Variance Components:
estim sqrt nlvls fixed factor
sigma^2.1 0.0196 0.1399 45 no Study_ID
sigma^2.2 0.0290 0.1704 77 no Index
Test for Residual Heterogeneity:
QE(df = 70) = 614.1683, p-val < .0001
Test of Moderators (coefficients 2:7):
QM(df = 6) = 64.8410, p-val < .0001
Model Results:
estimate se zval pval
intrcpt -0.1780 0.0913 -1.9498 0.0512
factor(SexSel_Category)Other 0.5575 0.1200 4.6453 <.0001
factor(SexSel_Category)OSR 0.7963 0.1520 5.2401 <.0001
factor(SexSel_Category)Mating system 0.5724 0.1067 5.3629 <.0001
factor(SexSel_Category)Premating competition 0.5179 0.1091 4.7481 <.0001
factor(SexSel_Category)Density 0.4395 0.1440 3.0525 0.0023
factor(SexSel_Category)Trait-based 0.1278 0.1152 1.1092 0.2674
ci.lb ci.ub
intrcpt -0.3570 0.0009 .
factor(SexSel_Category)Other 0.3223 0.7927 ***
factor(SexSel_Category)OSR 0.4985 1.0942 ***
factor(SexSel_Category)Mating system 0.3632 0.7816 ***
factor(SexSel_Category)Premating competition 0.3041 0.7316 ***
factor(SexSel_Category)Density 0.1573 0.7217 **
factor(SexSel_Category)Trait-based -0.0980 0.3536
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
We then re-leveled the model for post-hoc comparisons:
$SexSel_Category=relevel(MetaData$SexSel_Category,c("Trait-based"))
MetaData= rma.mv(r ~ factor(SexSel_Category), V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_REML_by_cSexSelCat2 summary(Model_REML_by_cSexSelCat2)
$SexSel_Category=relevel(MetaData$SexSel_Category,c("Density"))
MetaData= rma.mv(r ~ factor(SexSel_Category), V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_REML_by_cSexSelCat3 summary(Model_REML_by_cSexSelCat3)
$SexSel_Category=relevel(MetaData$SexSel_Category,c("Premating competition"))
MetaData= rma.mv(r ~ factor(SexSel_Category), V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_REML_by_cSexSelCat4 summary(Model_REML_by_cSexSelCat4)
$SexSel_Category=relevel(MetaData$SexSel_Category,c("Mating system"))
MetaData= rma.mv(r ~ factor(SexSel_Category), V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_REML_by_cSexSelCat5 summary(Model_REML_by_cSexSelCat5)
$SexSel_Category=relevel(MetaData$SexSel_Category,c("OSR"))
MetaData= rma.mv(r ~ factor(SexSel_Category), V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_REML_by_cSexSelCat6 summary(Model_REML_by_cSexSelCat6)
$SexSel_Category=relevel(MetaData$SexSel_Category,c("Other"))
MetaData= rma.mv(r ~ factor(SexSel_Category), V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_REML_by_cSexSelCat7 summary(Model_REML_by_cSexSelCat7)
Finally, we computed FDR corrected p-values:
=as.data.frame(round(p.adjust(c(0.0685, 0.5996, 0.0151, .0001, .0001, .0001, .0001), method = 'fdr'),digit=3),row.names=cbind("Postmating competition","Trait-based","Density",'Premating competition',"Mating system","OSR","Other"))
tab2colnames(tab2)<-cbind('P-value')
tab2
P-value
Postmating competition 0.080
Trait-based 0.600
Density 0.021
Premating competition 0.000
Mating system 0.000
OSR 0.000
Other 0.000
Next we explored the effect of the phylogenetic classes:
$Class=as.factor(MetaData$Class)
MetaData$Class=relevel(MetaData$Class,c("Nematoda"))
MetaData= rma.mv(r ~ Class, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_cREML_by_Class summary(Model_cREML_by_Class)
Multivariate Meta-Analysis Model (k = 77; method: REML)
logLik Deviance AIC BIC AICc
-16.1287 32.2574 54.2574 78.6720 58.9717
Variance Components:
estim sqrt nlvls fixed factor
sigma^2.1 0.0000 0.0000 45 no Study_ID
sigma^2.2 0.0774 0.2782 77 no Index
Test for Residual Heterogeneity:
QE(df = 68) = 776.5810, p-val < .0001
Test of Moderators (coefficients 2:9):
QM(df = 8) = 17.6591, p-val = 0.0239
Model Results:
estimate se zval pval ci.lb ci.ub
intrcpt 0.4222 0.2298 1.8376 0.0661 -0.0281 0.8726 .
ClassActinopterygii -0.2636 0.2605 -1.0118 0.3116 -0.7741 0.2470
ClassAmphibia -0.3092 0.2763 -1.1189 0.2632 -0.8507 0.2324
ClassAnimalia -0.1963 0.3107 -0.6318 0.5275 -0.8053 0.4127
ClassAves -0.3019 0.2390 -1.2629 0.2066 -0.7704 0.1666
ClassInsecta -0.1607 0.2684 -0.5987 0.5494 -0.6866 0.3653
ClassMammalia -0.0199 0.2370 -0.0841 0.9329 -0.4844 0.4445
ClassPisces -0.1639 0.3641 -0.4502 0.6526 -0.8776 0.5498
ClassReptilia -0.4246 0.2551 -1.6645 0.0960 -0.9246 0.0754 .
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
We then re-leveled the model for post-hoc comparisons:
$Class=relevel(MetaData$Class,c("Insecta"))
MetaData= rma.mv(r ~ Class, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_cREML_by_Class2 summary(Model_cREML_by_Class2)
$Class=relevel(MetaData$Class,c("Aves"))
MetaData= rma.mv(r ~ Class, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_cREML_by_Class3 summary(Model_cREML_by_Class3)
$Class=relevel(MetaData$Class,c("Reptilia"))
MetaData= rma.mv(r ~ Class, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_cREML_by_Class4 summary(Model_cREML_by_Class4)
$Class=relevel(MetaData$Class,c("Mammalia"))
MetaData= rma.mv(r ~ Class, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_cREML_by_Class5 summary(Model_cREML_by_Class5)
$Class=relevel(MetaData$Class,c("Amphibia"))
MetaData= rma.mv(r ~ Class, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_cREML_by_Class6 summary(Model_cREML_by_Class6)
$Class=relevel(MetaData$Class,c("Actinopterygii"))
MetaData= rma.mv(r ~ Class, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_cREML_by_Class7 summary(Model_cREML_by_Class7)
$Class=relevel(MetaData$Class,c("Pisces"))
MetaData= rma.mv(r ~ Class, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_cREML_by_Class8 summary(Model_cREML_by_Class8)
$Class=relevel(MetaData$Class,c("Animalia"))
MetaData= rma.mv(r ~ Class, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_cREML_by_Class9 summary(Model_cREML_by_Class9)
Finally, we computed FDR corrected p-values:
=as.data.frame(round(p.adjust(c(0.2557 ,0.4534 , 0.3747 ,0.0048 ,0.0016 ,.0001 ,0.1202 , 0.3966 ,0.4405 ), method = 'fdr'),digit=3),row.names=cbind( "Nematoda","Insecta","Aves","Reptilia","Mammalia","Amphibia","Actinopterygii","Pisces","Animalia"))
tab2colnames(tab2)<-cbind('P-value')
tab2
P-value
Nematoda 0.453
Insecta 0.453
Aves 0.453
Reptilia 0.014
Mammalia 0.007
Amphibia 0.001
Actinopterygii 0.270
Pisces 0.453
Animalia 0.453
Here we plot the phylogenetic classes:
$Class=as.factor(MetaData$Class)
MetaData$Class=factor(MetaData$Class, levels = (c("Animalia","Pisces" ,"Actinopterygii","Amphibia","Mammalia","Reptilia","Aves","Insecta","Nematoda")))
MetaData
ggplot(MetaData, aes(x=Class, y=r, fill = Class, colour = Class)) +
geom_hline(yintercept=0, linetype="longdash", color = "black", linewidth=1)+
geom_point(position = position_jitter(width = .1), size = 2.5,alpha=0.8,stroke=0,shape=19)+
geom_point(inherit.aes = F,mapping = aes(y=Model_cREML_by_Class$b[1,1], x=9.35), size = 3.5,alpha=1,stroke=0,shape=19,color=colpal4[9])+
geom_point(inherit.aes = F,mapping = aes(y=Model_cREML_by_Class2$b[1,1], x=8.35), size = 3.5,alpha=1,stroke=0,shape=19,color=colpal4[8])+
geom_point(inherit.aes = F,mapping = aes(y=Model_cREML_by_Class3$b[1,1], x=7.35), size = 3.5,alpha=1,stroke=0,shape=19,color=colpal4[7])+
geom_point(inherit.aes = F,mapping = aes(y=Model_cREML_by_Class4$b[1,1], x=6.35), size = 3.5,alpha=1,stroke=0,shape=19,color=colpal4[6])+
geom_point(inherit.aes = F,mapping = aes(y=Model_cREML_by_Class5$b[1,1], x=5.35), size = 3.5,alpha=1,stroke=0,shape=19,color=colpal4[5])+
geom_point(inherit.aes = F,mapping = aes(y=Model_cREML_by_Class6$b[1,1], x=4.35), size = 3.5,alpha=1,stroke=0,shape=19,color=colpal4[4])+
geom_point(inherit.aes = F,mapping = aes(y=Model_cREML_by_Class7$b[1,1], x=3.35), size = 3.5,alpha=1,stroke=0,shape=19,color=colpal4[3])+
geom_point(inherit.aes = F,mapping = aes(y=Model_cREML_by_Class8$b[1,1], x=2.35), size = 3.5,alpha=1,stroke=0,shape=19,color=colpal4[2])+
geom_point(inherit.aes = F,mapping = aes(y=Model_cREML_by_Class9$b[1,1], x=1.35), size = 3.5,alpha=1,stroke=0,shape=19,color=colpal4[1])+
geom_segment(inherit.aes = F,mapping = aes(y=Model_cREML_by_Class$ci.lb[1], x=9.35, xend= 9.35, yend= Model_cREML_by_Class$ci.ub[1]), alpha=1,linewidth=1,color=colpal4[9])+
geom_segment(inherit.aes = F,mapping = aes(y=Model_cREML_by_Class2$ci.lb[1], x=8.35, xend= 8.35, yend= Model_cREML_by_Class2$ci.ub[1]), alpha=1,linewidth=1,color=colpal4[8])+
geom_segment(inherit.aes = F,mapping = aes(y=Model_cREML_by_Class3$ci.lb[1], x=7.35, xend= 7.35, yend= Model_cREML_by_Class3$ci.ub[1]), alpha=1,linewidth=1,color=colpal4[7])+
geom_segment(inherit.aes = F,mapping = aes(y=Model_cREML_by_Class4$ci.lb[1], x=6.35, xend= 6.35, yend= Model_cREML_by_Class4$ci.ub[1]), alpha=1,linewidth=1,color=colpal4[6])+
geom_segment(inherit.aes = F,mapping = aes(y=Model_cREML_by_Class5$ci.lb[1], x=5.35, xend= 5.35, yend= Model_cREML_by_Class5$ci.ub[1]), alpha=1,linewidth=1,color=colpal4[5])+
geom_segment(inherit.aes = F,mapping = aes(y=Model_cREML_by_Class6$ci.lb[1], x=4.35, xend= 4.35, yend= Model_cREML_by_Class6$ci.ub[1]), alpha=1,linewidth=1,color=colpal4[4])+
geom_segment(inherit.aes = F,mapping = aes(y=Model_cREML_by_Class7$ci.lb[1], x=3.35, xend= 3.35, yend= Model_cREML_by_Class7$ci.ub[1]), alpha=1,linewidth=1,color=colpal4[3])+
geom_segment(inherit.aes = F,mapping = aes(y=Model_cREML_by_Class8$ci.lb[1], x=2.35, xend= 2.35, yend= Model_cREML_by_Class8$ci.ub[1]), alpha=1,linewidth=1,color=colpal4[2])+
geom_segment(inherit.aes = F,mapping = aes(y=Model_cREML_by_Class9$ci.lb[1], x=1.35, xend= 1.35, yend= Model_cREML_by_Class9$ci.ub[1]), alpha=1,linewidth=1,color=colpal4[1])+
ylab(expression(paste("Effect size (", italic("r"),')')))+xlab('Class')+coord_flip()+guides(fill = FALSE, colour = FALSE) +
scale_color_manual(values =colpal4)+
scale_fill_manual(values =colpal4)+
scale_x_discrete(labels=(c("Animalia","Pisces" ,"Actinopterygii","Amphibia","Mammalia","Reptilia","Aves","Insecta","Nematoda")),expand=c(.1,0))+
theme
Figure 3: Phylogeny based on classes including sample sizes for the number of studies and number of effect sizes, respectively, and estimates with 95%CI from non-phylogenetic model.
Next we explored the effect of the sex-bias in SSD (i.e. the proportion of female biased species within each study):
= rma.mv(r ~ SSD_SexBias_in_perc_F, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_cREML_by_SSDBias summary(Model_cREML_by_SSDBias)
Multivariate Meta-Analysis Model (k = 71; method: REML)
logLik Deviance AIC BIC AICc
-18.8759 37.7517 45.7517 54.6882 46.3767
Variance Components:
estim sqrt nlvls fixed factor
sigma^2.1 0.0233 0.1525 41 no Study_ID
sigma^2.2 0.0663 0.2575 71 no Index
Test for Residual Heterogeneity:
QE(df = 69) = 1121.4981, p-val < .0001
Test of Moderators (coefficient 2):
QM(df = 1) = 2.5424, p-val = 0.1108
Model Results:
estimate se zval pval ci.lb ci.ub
intrcpt 0.3463 0.0687 5.0376 <.0001 0.2116 0.4810 ***
SSD_SexBias_in_perc_F -0.0023 0.0014 -1.5945 0.1108 -0.0051 0.0005
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Next we explored the effect of the type of SSD measure (i.e. body mass or size):
$SSD_Proxy=as.factor(MetaData$SSD_Proxy)
MetaData$SSD_Proxy=relevel(MetaData$SSD_Proxy,c("Body mass"))
MetaData= rma.mv(r ~ SSD_Proxy, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_REML_by_cSSDMeasure summary(Model_REML_by_cSSDMeasure)
Multivariate Meta-Analysis Model (k = 75; method: REML)
logLik Deviance AIC BIC AICc
-20.0151 40.0302 48.0302 57.1920 48.6184
Variance Components:
estim sqrt nlvls fixed factor
sigma^2.1 0.0000 0.0000 44 no Study_ID
sigma^2.2 0.0856 0.2925 75 no Index
Test for Residual Heterogeneity:
QE(df = 73) = 1137.0026, p-val < .0001
Test of Moderators (coefficient 2):
QM(df = 1) = 6.0488, p-val = 0.0139
Model Results:
estimate se zval pval ci.lb ci.ub
intrcpt 0.3367 0.0549 6.1291 <.0001 0.2290 0.4443 ***
SSD_ProxyBody size -0.1825 0.0742 -2.4594 0.0139 -0.3279 -0.0371 *
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
We then re-leveled the model for post-hoc comparisons:
$SSD_Proxy=relevel(MetaData$SSD_Proxy,c("Body size"))
MetaData= rma.mv(r ~ SSD_Proxy, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_REML_by_cSSDMeasure2 summary(Model_REML_by_cSSDMeasure2)
Finally, we computed FDR corrected p-values:
=as.data.frame(round(p.adjust(c(.0001, .0001), method = 'fdr'),digit=3),row.names=cbind("Body mass","Body size"))
tab3colnames(tab3)<-cbind('P-value')
tab3
P-value
Body mass 0
Body size 0
Next we explored the effect if the primary study controlled the SSD for body size (i.e. uncontrolled or controlled):
$BodySizeControlled=as.factor(MetaData$BodySizeControlled)
MetaData$BodySizeControlled=relevel(MetaData$BodySizeControlled,c("No"))
MetaData= rma.mv(r ~ BodySizeControlled, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_REML_by_cBodySizeCont summary(Model_REML_by_cBodySizeCont)
Multivariate Meta-Analysis Model (k = 77; method: REML)
logLik Deviance AIC BIC AICc
-22.0756 44.1512 52.1512 61.4212 52.7227
Variance Components:
estim sqrt nlvls fixed factor
sigma^2.1 0.0149 0.1220 45 no Study_ID
sigma^2.2 0.0769 0.2773 77 no Index
Test for Residual Heterogeneity:
QE(df = 75) = 1181.8972, p-val < .0001
Test of Moderators (coefficient 2):
QM(df = 1) = 0.5960, p-val = 0.4401
Model Results:
estimate se zval pval ci.lb ci.ub
intrcpt 0.2547 0.0447 5.6926 <.0001 0.1670 0.3424 ***
BodySizeControlledYes -0.0787 0.1020 -0.7720 0.4401 -0.2786 0.1212
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
We then re-leveled the model for post-hoc comparisons:
$BodySizeControlled=relevel(MetaData$BodySizeControlled,c("Yes"))
MetaData= rma.mv(r ~ BodySizeControlled, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_REML_by_cBodySizeCont2 summary(Model_REML_by_cBodySizeCont2)
Finally, we computed FDR corrected p-values:
=as.data.frame(round(p.adjust(c(.0001, 0.0168), method = 'fdr'),digit=3),row.names=cbind("uncontrolled","controlled"))
tab4colnames(tab4)<-cbind('P-value')
tab4
P-value
uncontrolled 0.000
controlled 0.017
Next we explored the effect of the number of taxa within each study:
= rma.mv(r ~ TaxaNumber, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_cREML_by_TaxaNumber summary(Model_cREML_by_TaxaNumber)
Multivariate Meta-Analysis Model (k = 77; method: REML)
logLik Deviance AIC BIC AICc
-21.2192 42.4384 50.4384 59.7083 51.0098
Variance Components:
estim sqrt nlvls fixed factor
sigma^2.1 0.0120 0.1094 45 no Study_ID
sigma^2.2 0.0770 0.2775 77 no Index
Test for Residual Heterogeneity:
QE(df = 75) = 1006.7328, p-val < .0001
Test of Moderators (coefficient 2):
QM(df = 1) = 2.4799, p-val = 0.1153
Model Results:
estimate se zval pval ci.lb ci.ub
intrcpt 0.2670 0.0433 6.1729 <.0001 0.1822 0.3518 ***
TaxaNumber -0.0001 0.0001 -1.5748 0.1153 -0.0003 0.0000
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
Next we explored the effect of the publication year of each study:
= rma.mv(r ~ Year, V=Var_r, data = MetaData, random = c(~ 1 | Study_ID,~ 1 | Index), method = "REML")
Model_cREML_by_Year summary(Model_cREML_by_Year)
Multivariate Meta-Analysis Model (k = 77; method: REML)
logLik Deviance AIC BIC AICc
-22.0838 44.1677 52.1677 61.4376 52.7391
Variance Components:
estim sqrt nlvls fixed factor
sigma^2.1 0.0193 0.1390 45 no Study_ID
sigma^2.2 0.0733 0.2707 77 no Index
Test for Residual Heterogeneity:
QE(df = 75) = 1060.4395, p-val < .0001
Test of Moderators (coefficient 2):
QM(df = 1) = 0.5199, p-val = 0.4709
Model Results:
estimate se zval pval ci.lb ci.ub
intrcpt 7.0575 9.4535 0.7466 0.4553 -11.4710 25.5860
Year -0.0034 0.0047 -0.7210 0.4709 -0.0126 0.0058
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
# Sort data by Class
$Class=as.factor(MetaData$Class)
MetaData$Class=factor(MetaData$Class, levels = c("Animalia","Pisces" ,"Actinopterygii","Amphibia","Mammalia","Reptilia","Aves","Insecta","Nematoda"))
MetaData<-MetaData[order(MetaData$Class),]
MetaData_sorted
# Add global effect size to data
=MetaData_sorted[,c(3,5,12,17,20,21)]
forestData=as.data.frame(cbind('Global effect size','','Global effect size',Model_REML_Null$b[1,1],Model_REML_Null$ci.lb[1],Model_REML_Null$ci.ub[1]))
GlobalEScolnames(GlobalES)=c('AuthorsAndYear','Class','SexSel_Mode','r','lCI','uCI')
=rbind(GlobalES,forestData)
forestDatac(4:6)]=lapply(forestData[,c(4:6)],as.numeric)
forestData[,$SexSel_Mode=as.factor(forestData$SexSel_Mode)
forestData$SexSel_Mode=factor(forestData$SexSel_Mode, levels = c("pre-copulatory","post-copulatory" ,"both","Global effect size")) forestData
ggplot(data=forestData, aes(y=1:nrow(forestData), x=r, xmin=lCI, xmax=uCI,color=SexSel_Mode)) +
geom_vline(xintercept=0, color='black', linetype='dashed', alpha=.5,linewidth=0.8) +
geom_point(size = ifelse(1:nrow(forestData) == c(1), 2.75, 1.8))+
geom_errorbarh(height=0,size = ifelse(1:nrow(forestData) == c(1), 1.25, 1))+
scale_y_continuous(breaks=seq(1, nrow(forestData), by=1), labels=forestData$AuthorsAndYear,limits=c(1,length(forestData$AuthorsAndYear)),expand=c(0.015,0.015)) +
labs(title='', x=expression(paste(italic("r "),'(95% CI)')), y = 'Study') +
theme_classic()+theme(axis.text.x=element_text(size=12),
axis.title=element_text(size=12))+ labs(color = c("Sexual selection mode"))+
scale_colour_manual(values=Meta_col, labels=c('Pre-copulatory','Post-copulatory',"Both","Global effect size"))+
guides(color = guide_legend(override.aes = list(size = .9)))
Figure 1: Forest plot including correlation coefficients (±95% CI), as well as the global effect size (in grey) with and without controlling for phylogeny. Different animal classes highlighted by background colors (see Figure 3 for class names) and sexual selection modes pre- (red), post-copulatory (blue) and both (green) by color of effect size.
To test for publication bias, we transformed r into z scores and ran MCMCglmm models (‘MCMCglmm’ package) with z as the predictor and its standard error as the response with study ID and an observation level random effect. While the variance in r depends on the effect size and the sample size, the variance in z is only dependent on the sample size. Hence, if z values correlate with the variance in z, this indicates that small studies were only published, if the effect was large, suggesting publication bias.
# MCMCglmm model
# Set uninformative priors
<-list(R=list(V=1,nu=0.002), G=list(G1=list(V=1,nu=0.002),
prG2=list(V=1,nu=0.002),
G3=list(V=1,nu=0.002)))
= 1000000
BURNIN = 11000000
NITT = 500
THIN
$animal=NA
MetaData$animal=MetaData$Class MetaData
<- MCMCglmm(z~SE_z,random=~animal + Index + Study_ID,
MCMC_model_PubBias pedigree=Tree_Class,
prior=pr,
data=MetaData,
pr = TRUE,
burnin = BURNIN,
nitt=NITT,
thin=THIN)
MCMC iteration = 0
MCMC iteration = 1000
MCMC iteration = 2000
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MCMC iteration = 196000
MCMC iteration = 197000
MCMC iteration = 198000
MCMC iteration = 199000
MCMC iteration = 200000
MCMC iteration = 201000
MCMC iteration = 202000
MCMC iteration = 203000
MCMC iteration = 204000
MCMC iteration = 205000
MCMC iteration = 206000
MCMC iteration = 207000
MCMC iteration = 208000
MCMC iteration = 209000
MCMC iteration = 210000
MCMC iteration = 211000
MCMC iteration = 212000
MCMC iteration = 213000
MCMC iteration = 214000
MCMC iteration = 215000
MCMC iteration = 216000
MCMC iteration = 217000
MCMC iteration = 218000
MCMC iteration = 219000
MCMC iteration = 220000
MCMC iteration = 221000
MCMC iteration = 222000
MCMC iteration = 223000
MCMC iteration = 224000
MCMC iteration = 225000
MCMC iteration = 226000
MCMC iteration = 227000
MCMC iteration = 228000
MCMC iteration = 229000
MCMC iteration = 230000
MCMC iteration = 231000
MCMC iteration = 232000
MCMC iteration = 233000
MCMC iteration = 234000
MCMC iteration = 235000
MCMC iteration = 236000
MCMC iteration = 237000
MCMC iteration = 238000
MCMC iteration = 239000
MCMC iteration = 240000
MCMC iteration = 241000
MCMC iteration = 242000
MCMC iteration = 243000
MCMC iteration = 244000
MCMC iteration = 245000
MCMC iteration = 246000
MCMC iteration = 247000
MCMC iteration = 248000
MCMC iteration = 249000
MCMC iteration = 250000
MCMC iteration = 251000
MCMC iteration = 252000
MCMC iteration = 253000
MCMC iteration = 254000
MCMC iteration = 255000
MCMC iteration = 256000
MCMC iteration = 257000
MCMC iteration = 258000
MCMC iteration = 259000
MCMC iteration = 260000
MCMC iteration = 261000
MCMC iteration = 262000
MCMC iteration = 263000
MCMC iteration = 264000
MCMC iteration = 265000
MCMC iteration = 266000
MCMC iteration = 267000
MCMC iteration = 268000
MCMC iteration = 269000
MCMC iteration = 270000
MCMC iteration = 271000
MCMC iteration = 272000
MCMC iteration = 273000
MCMC iteration = 274000
MCMC iteration = 275000
MCMC iteration = 276000
MCMC iteration = 277000
MCMC iteration = 278000
MCMC iteration = 279000
MCMC iteration = 280000
MCMC iteration = 281000
MCMC iteration = 282000
MCMC iteration = 283000
MCMC iteration = 284000
MCMC iteration = 285000
MCMC iteration = 286000
MCMC iteration = 287000
MCMC iteration = 288000
MCMC iteration = 289000
MCMC iteration = 290000
MCMC iteration = 291000
MCMC iteration = 292000
MCMC iteration = 293000
MCMC iteration = 294000
MCMC iteration = 295000
MCMC iteration = 296000
MCMC iteration = 297000
MCMC iteration = 298000
MCMC iteration = 299000
MCMC iteration = 300000
MCMC iteration = 301000
MCMC iteration = 302000
MCMC iteration = 303000
MCMC iteration = 304000
MCMC iteration = 305000
MCMC iteration = 306000
MCMC iteration = 307000
MCMC iteration = 308000
MCMC iteration = 309000
MCMC iteration = 310000
MCMC iteration = 311000
MCMC iteration = 312000
MCMC iteration = 313000
MCMC iteration = 314000
MCMC iteration = 315000
MCMC iteration = 316000
MCMC iteration = 317000
MCMC iteration = 318000
MCMC iteration = 319000
MCMC iteration = 320000
MCMC iteration = 321000
MCMC iteration = 322000
MCMC iteration = 323000
MCMC iteration = 324000
MCMC iteration = 325000
MCMC iteration = 326000
MCMC iteration = 327000
MCMC iteration = 328000
MCMC iteration = 329000
MCMC iteration = 330000
MCMC iteration = 331000
MCMC iteration = 332000
MCMC iteration = 333000
MCMC iteration = 334000
MCMC iteration = 335000
MCMC iteration = 336000
MCMC iteration = 337000
MCMC iteration = 338000
MCMC iteration = 339000
MCMC iteration = 340000
MCMC iteration = 341000
MCMC iteration = 342000
MCMC iteration = 343000
MCMC iteration = 344000
MCMC iteration = 345000
MCMC iteration = 346000
MCMC iteration = 347000
MCMC iteration = 348000
MCMC iteration = 349000
MCMC iteration = 350000
MCMC iteration = 351000
MCMC iteration = 352000
MCMC iteration = 353000
MCMC iteration = 354000
MCMC iteration = 355000
MCMC iteration = 356000
MCMC iteration = 357000
MCMC iteration = 358000
MCMC iteration = 359000
MCMC iteration = 360000
MCMC iteration = 361000
MCMC iteration = 362000
MCMC iteration = 363000
MCMC iteration = 364000
MCMC iteration = 365000
MCMC iteration = 366000
MCMC iteration = 367000
MCMC iteration = 368000
MCMC iteration = 369000
MCMC iteration = 370000
MCMC iteration = 371000
MCMC iteration = 372000
MCMC iteration = 373000
MCMC iteration = 374000
MCMC iteration = 375000
MCMC iteration = 376000
MCMC iteration = 377000
MCMC iteration = 378000
MCMC iteration = 379000
MCMC iteration = 380000
MCMC iteration = 381000
MCMC iteration = 382000
MCMC iteration = 383000
MCMC iteration = 384000
MCMC iteration = 385000
MCMC iteration = 386000
MCMC iteration = 387000
MCMC iteration = 388000
MCMC iteration = 389000
MCMC iteration = 390000
MCMC iteration = 391000
MCMC iteration = 392000
MCMC iteration = 393000
MCMC iteration = 394000
MCMC iteration = 395000
MCMC iteration = 396000
MCMC iteration = 397000
MCMC iteration = 398000
MCMC iteration = 399000
MCMC iteration = 400000
MCMC iteration = 401000
MCMC iteration = 402000
MCMC iteration = 403000
MCMC iteration = 404000
MCMC iteration = 405000
MCMC iteration = 406000
MCMC iteration = 407000
MCMC iteration = 408000
MCMC iteration = 409000
MCMC iteration = 410000
MCMC iteration = 411000
MCMC iteration = 412000
MCMC iteration = 413000
MCMC iteration = 414000
MCMC iteration = 415000
MCMC iteration = 416000
MCMC iteration = 417000
MCMC iteration = 418000
MCMC iteration = 419000
MCMC iteration = 420000
MCMC iteration = 421000
MCMC iteration = 422000
MCMC iteration = 423000
MCMC iteration = 424000
MCMC iteration = 425000
MCMC iteration = 426000
MCMC iteration = 427000
MCMC iteration = 428000
MCMC iteration = 429000
MCMC iteration = 430000
MCMC iteration = 431000
MCMC iteration = 432000
MCMC iteration = 433000
MCMC iteration = 434000
MCMC iteration = 435000
MCMC iteration = 436000
MCMC iteration = 437000
MCMC iteration = 438000
MCMC iteration = 439000
MCMC iteration = 440000
MCMC iteration = 441000
MCMC iteration = 442000
MCMC iteration = 443000
MCMC iteration = 444000
MCMC iteration = 445000
MCMC iteration = 446000
MCMC iteration = 447000
MCMC iteration = 448000
MCMC iteration = 449000
MCMC iteration = 450000
MCMC iteration = 451000
MCMC iteration = 452000
MCMC iteration = 453000
MCMC iteration = 454000
MCMC iteration = 455000
MCMC iteration = 456000
MCMC iteration = 457000
MCMC iteration = 458000
MCMC iteration = 459000
MCMC iteration = 460000
MCMC iteration = 461000
MCMC iteration = 462000
MCMC iteration = 463000
MCMC iteration = 464000
MCMC iteration = 465000
MCMC iteration = 466000
MCMC iteration = 467000
MCMC iteration = 468000
MCMC iteration = 469000
MCMC iteration = 470000
MCMC iteration = 471000
MCMC iteration = 472000
MCMC iteration = 473000
MCMC iteration = 474000
MCMC iteration = 475000
MCMC iteration = 476000
MCMC iteration = 477000
MCMC iteration = 478000
MCMC iteration = 479000
MCMC iteration = 480000
MCMC iteration = 481000
MCMC iteration = 482000
MCMC iteration = 483000
MCMC iteration = 484000
MCMC iteration = 485000
MCMC iteration = 486000
MCMC iteration = 487000
MCMC iteration = 488000
MCMC iteration = 489000
MCMC iteration = 490000
MCMC iteration = 491000
MCMC iteration = 492000
MCMC iteration = 493000
MCMC iteration = 494000
MCMC iteration = 495000
MCMC iteration = 496000
MCMC iteration = 497000
MCMC iteration = 498000
MCMC iteration = 499000
MCMC iteration = 500000
MCMC iteration = 501000
MCMC iteration = 502000
MCMC iteration = 503000
MCMC iteration = 504000
MCMC iteration = 505000
MCMC iteration = 506000
MCMC iteration = 507000
MCMC iteration = 508000
MCMC iteration = 509000
MCMC iteration = 510000
MCMC iteration = 511000
MCMC iteration = 512000
MCMC iteration = 513000
MCMC iteration = 514000
MCMC iteration = 515000
MCMC iteration = 516000
MCMC iteration = 517000
MCMC iteration = 518000
MCMC iteration = 519000
MCMC iteration = 520000
MCMC iteration = 521000
MCMC iteration = 522000
MCMC iteration = 523000
MCMC iteration = 524000
MCMC iteration = 525000
MCMC iteration = 526000
MCMC iteration = 527000
MCMC iteration = 528000
MCMC iteration = 529000
MCMC iteration = 530000
MCMC iteration = 531000
MCMC iteration = 532000
MCMC iteration = 533000
MCMC iteration = 534000
MCMC iteration = 535000
MCMC iteration = 536000
MCMC iteration = 537000
MCMC iteration = 538000
MCMC iteration = 539000
MCMC iteration = 540000
MCMC iteration = 541000
MCMC iteration = 542000
MCMC iteration = 543000
MCMC iteration = 544000
MCMC iteration = 545000
MCMC iteration = 546000
MCMC iteration = 547000
MCMC iteration = 548000
MCMC iteration = 549000
MCMC iteration = 550000
MCMC iteration = 551000
MCMC iteration = 552000
MCMC iteration = 553000
MCMC iteration = 554000
MCMC iteration = 555000
MCMC iteration = 556000
MCMC iteration = 557000
MCMC iteration = 558000
MCMC iteration = 559000
MCMC iteration = 560000
MCMC iteration = 561000
MCMC iteration = 562000
MCMC iteration = 563000
MCMC iteration = 564000
MCMC iteration = 565000
MCMC iteration = 566000
MCMC iteration = 567000
MCMC iteration = 568000
MCMC iteration = 569000
MCMC iteration = 570000
MCMC iteration = 571000
MCMC iteration = 572000
MCMC iteration = 573000
MCMC iteration = 574000
MCMC iteration = 575000
MCMC iteration = 576000
MCMC iteration = 577000
MCMC iteration = 578000
MCMC iteration = 579000
MCMC iteration = 580000
MCMC iteration = 581000
MCMC iteration = 582000
MCMC iteration = 583000
MCMC iteration = 584000
MCMC iteration = 585000
MCMC iteration = 586000
MCMC iteration = 587000
MCMC iteration = 588000
MCMC iteration = 589000
MCMC iteration = 590000
MCMC iteration = 591000
MCMC iteration = 592000
MCMC iteration = 593000
MCMC iteration = 594000
MCMC iteration = 595000
MCMC iteration = 596000
MCMC iteration = 597000
MCMC iteration = 598000
MCMC iteration = 599000
MCMC iteration = 600000
MCMC iteration = 601000
MCMC iteration = 602000
MCMC iteration = 603000
MCMC iteration = 604000
MCMC iteration = 605000
MCMC iteration = 606000
MCMC iteration = 607000
MCMC iteration = 608000
MCMC iteration = 609000
MCMC iteration = 610000
MCMC iteration = 611000
MCMC iteration = 612000
MCMC iteration = 613000
MCMC iteration = 614000
MCMC iteration = 615000
MCMC iteration = 616000
MCMC iteration = 617000
MCMC iteration = 618000
MCMC iteration = 619000
MCMC iteration = 620000
MCMC iteration = 621000
MCMC iteration = 622000
MCMC iteration = 623000
MCMC iteration = 624000
MCMC iteration = 625000
MCMC iteration = 626000
MCMC iteration = 627000
MCMC iteration = 628000
MCMC iteration = 629000
MCMC iteration = 630000
MCMC iteration = 631000
MCMC iteration = 632000
MCMC iteration = 633000
MCMC iteration = 634000
MCMC iteration = 635000
MCMC iteration = 636000
MCMC iteration = 637000
MCMC iteration = 638000
MCMC iteration = 639000
MCMC iteration = 640000
MCMC iteration = 641000
MCMC iteration = 642000
MCMC iteration = 643000
MCMC iteration = 644000
MCMC iteration = 645000
MCMC iteration = 646000
MCMC iteration = 647000
MCMC iteration = 648000
MCMC iteration = 649000
MCMC iteration = 650000
MCMC iteration = 651000
MCMC iteration = 652000
MCMC iteration = 653000
MCMC iteration = 654000
MCMC iteration = 655000
MCMC iteration = 656000
MCMC iteration = 657000
MCMC iteration = 658000
MCMC iteration = 659000
MCMC iteration = 660000
MCMC iteration = 661000
MCMC iteration = 662000
MCMC iteration = 663000
MCMC iteration = 664000
MCMC iteration = 665000
MCMC iteration = 666000
MCMC iteration = 667000
MCMC iteration = 668000
MCMC iteration = 669000
MCMC iteration = 670000
MCMC iteration = 671000
MCMC iteration = 672000
MCMC iteration = 673000
MCMC iteration = 674000
MCMC iteration = 675000
MCMC iteration = 676000
MCMC iteration = 677000
MCMC iteration = 678000
MCMC iteration = 679000
MCMC iteration = 680000
MCMC iteration = 681000
MCMC iteration = 682000
MCMC iteration = 683000
MCMC iteration = 684000
MCMC iteration = 685000
MCMC iteration = 686000
MCMC iteration = 687000
MCMC iteration = 688000
MCMC iteration = 689000
MCMC iteration = 690000
MCMC iteration = 691000
MCMC iteration = 692000
MCMC iteration = 693000
MCMC iteration = 694000
MCMC iteration = 695000
MCMC iteration = 696000
MCMC iteration = 697000
MCMC iteration = 698000
MCMC iteration = 699000
MCMC iteration = 700000
MCMC iteration = 701000
MCMC iteration = 702000
MCMC iteration = 703000
MCMC iteration = 704000
MCMC iteration = 705000
MCMC iteration = 706000
MCMC iteration = 707000
MCMC iteration = 708000
MCMC iteration = 709000
MCMC iteration = 710000
MCMC iteration = 711000
MCMC iteration = 712000
MCMC iteration = 713000
MCMC iteration = 714000
MCMC iteration = 715000
MCMC iteration = 716000
MCMC iteration = 717000
MCMC iteration = 718000
MCMC iteration = 719000
MCMC iteration = 720000
MCMC iteration = 721000
MCMC iteration = 722000
MCMC iteration = 723000
MCMC iteration = 724000
MCMC iteration = 725000
MCMC iteration = 726000
MCMC iteration = 727000
MCMC iteration = 728000
MCMC iteration = 729000
MCMC iteration = 730000
MCMC iteration = 731000
MCMC iteration = 732000
MCMC iteration = 733000
MCMC iteration = 734000
MCMC iteration = 735000
MCMC iteration = 736000
MCMC iteration = 737000
MCMC iteration = 738000
MCMC iteration = 739000
MCMC iteration = 740000
MCMC iteration = 741000
MCMC iteration = 742000
MCMC iteration = 743000
MCMC iteration = 744000
MCMC iteration = 745000
MCMC iteration = 746000
MCMC iteration = 747000
MCMC iteration = 748000
MCMC iteration = 749000
MCMC iteration = 750000
MCMC iteration = 751000
MCMC iteration = 752000
MCMC iteration = 753000
MCMC iteration = 754000
MCMC iteration = 755000
MCMC iteration = 756000
MCMC iteration = 757000
MCMC iteration = 758000
MCMC iteration = 759000
MCMC iteration = 760000
MCMC iteration = 761000
MCMC iteration = 762000
MCMC iteration = 763000
MCMC iteration = 764000
MCMC iteration = 765000
MCMC iteration = 766000
MCMC iteration = 767000
MCMC iteration = 768000
MCMC iteration = 769000
MCMC iteration = 770000
MCMC iteration = 771000
MCMC iteration = 772000
MCMC iteration = 773000
MCMC iteration = 774000
MCMC iteration = 775000
MCMC iteration = 776000
MCMC iteration = 777000
MCMC iteration = 778000
MCMC iteration = 779000
MCMC iteration = 780000
MCMC iteration = 781000
MCMC iteration = 782000
MCMC iteration = 783000
MCMC iteration = 784000
MCMC iteration = 785000
MCMC iteration = 786000
MCMC iteration = 787000
MCMC iteration = 788000
MCMC iteration = 789000
MCMC iteration = 790000
MCMC iteration = 791000
MCMC iteration = 792000
MCMC iteration = 793000
MCMC iteration = 794000
MCMC iteration = 795000
MCMC iteration = 796000
MCMC iteration = 797000
MCMC iteration = 798000
MCMC iteration = 799000
MCMC iteration = 800000
MCMC iteration = 801000
MCMC iteration = 802000
MCMC iteration = 803000
MCMC iteration = 804000
MCMC iteration = 805000
MCMC iteration = 806000
MCMC iteration = 807000
MCMC iteration = 808000
MCMC iteration = 809000
MCMC iteration = 810000
MCMC iteration = 811000
MCMC iteration = 812000
MCMC iteration = 813000
MCMC iteration = 814000
MCMC iteration = 815000
MCMC iteration = 816000
MCMC iteration = 817000
MCMC iteration = 818000
MCMC iteration = 819000
MCMC iteration = 820000
MCMC iteration = 821000
MCMC iteration = 822000
MCMC iteration = 823000
MCMC iteration = 824000
MCMC iteration = 825000
MCMC iteration = 826000
MCMC iteration = 827000
MCMC iteration = 828000
MCMC iteration = 829000
MCMC iteration = 830000
MCMC iteration = 831000
MCMC iteration = 832000
MCMC iteration = 833000
MCMC iteration = 834000
MCMC iteration = 835000
MCMC iteration = 836000
MCMC iteration = 837000
MCMC iteration = 838000
MCMC iteration = 839000
MCMC iteration = 840000
MCMC iteration = 841000
MCMC iteration = 842000
MCMC iteration = 843000
MCMC iteration = 844000
MCMC iteration = 845000
MCMC iteration = 846000
MCMC iteration = 847000
MCMC iteration = 848000
MCMC iteration = 849000
MCMC iteration = 850000
MCMC iteration = 851000
MCMC iteration = 852000
MCMC iteration = 853000
MCMC iteration = 854000
MCMC iteration = 855000
MCMC iteration = 856000
MCMC iteration = 857000
MCMC iteration = 858000
MCMC iteration = 859000
MCMC iteration = 860000
MCMC iteration = 861000
MCMC iteration = 862000
MCMC iteration = 863000
MCMC iteration = 864000
MCMC iteration = 865000
MCMC iteration = 866000
MCMC iteration = 867000
MCMC iteration = 868000
MCMC iteration = 869000
MCMC iteration = 870000
MCMC iteration = 871000
MCMC iteration = 872000
MCMC iteration = 873000
MCMC iteration = 874000
MCMC iteration = 875000
MCMC iteration = 876000
MCMC iteration = 877000
MCMC iteration = 878000
MCMC iteration = 879000
MCMC iteration = 880000
MCMC iteration = 881000
MCMC iteration = 882000
MCMC iteration = 883000
MCMC iteration = 884000
MCMC iteration = 885000
MCMC iteration = 886000
MCMC iteration = 887000
MCMC iteration = 888000
MCMC iteration = 889000
MCMC iteration = 890000
MCMC iteration = 891000
MCMC iteration = 892000
MCMC iteration = 893000
MCMC iteration = 894000
MCMC iteration = 895000
MCMC iteration = 896000
MCMC iteration = 897000
MCMC iteration = 898000
MCMC iteration = 899000
MCMC iteration = 900000
MCMC iteration = 901000
MCMC iteration = 902000
MCMC iteration = 903000
MCMC iteration = 904000
MCMC iteration = 905000
MCMC iteration = 906000
MCMC iteration = 907000
MCMC iteration = 908000
MCMC iteration = 909000
MCMC iteration = 910000
MCMC iteration = 911000
MCMC iteration = 912000
MCMC iteration = 913000
MCMC iteration = 914000
MCMC iteration = 915000
MCMC iteration = 916000
MCMC iteration = 917000
MCMC iteration = 918000
MCMC iteration = 919000
MCMC iteration = 920000
MCMC iteration = 921000
MCMC iteration = 922000
MCMC iteration = 923000
MCMC iteration = 924000
MCMC iteration = 925000
MCMC iteration = 926000
MCMC iteration = 927000
MCMC iteration = 928000
MCMC iteration = 929000
MCMC iteration = 930000
MCMC iteration = 931000
MCMC iteration = 932000
MCMC iteration = 933000
MCMC iteration = 934000
MCMC iteration = 935000
MCMC iteration = 936000
MCMC iteration = 937000
MCMC iteration = 938000
MCMC iteration = 939000
MCMC iteration = 940000
MCMC iteration = 941000
MCMC iteration = 942000
MCMC iteration = 943000
MCMC iteration = 944000
MCMC iteration = 945000
MCMC iteration = 946000
MCMC iteration = 947000
MCMC iteration = 948000
MCMC iteration = 949000
MCMC iteration = 950000
MCMC iteration = 951000
MCMC iteration = 952000
MCMC iteration = 953000
MCMC iteration = 954000
MCMC iteration = 955000
MCMC iteration = 956000
MCMC iteration = 957000
MCMC iteration = 958000
MCMC iteration = 959000
MCMC iteration = 960000
MCMC iteration = 961000
MCMC iteration = 962000
MCMC iteration = 963000
MCMC iteration = 964000
MCMC iteration = 965000
MCMC iteration = 966000
MCMC iteration = 967000
MCMC iteration = 968000
MCMC iteration = 969000
MCMC iteration = 970000
MCMC iteration = 971000
MCMC iteration = 972000
MCMC iteration = 973000
MCMC iteration = 974000
MCMC iteration = 975000
MCMC iteration = 976000
MCMC iteration = 977000
MCMC iteration = 978000
MCMC iteration = 979000
MCMC iteration = 980000
MCMC iteration = 981000
MCMC iteration = 982000
MCMC iteration = 983000
MCMC iteration = 984000
MCMC iteration = 985000
MCMC iteration = 986000
MCMC iteration = 987000
MCMC iteration = 988000
MCMC iteration = 989000
MCMC iteration = 990000
MCMC iteration = 991000
MCMC iteration = 992000
MCMC iteration = 993000
MCMC iteration = 994000
MCMC iteration = 995000
MCMC iteration = 996000
MCMC iteration = 997000
MCMC iteration = 998000
MCMC iteration = 999000
MCMC iteration = 1000000
MCMC iteration = 1001000
MCMC iteration = 1002000
MCMC iteration = 1003000
MCMC iteration = 1004000
MCMC iteration = 1005000
MCMC iteration = 1006000
MCMC iteration = 1007000
MCMC iteration = 1008000
MCMC iteration = 1009000
MCMC iteration = 1010000
MCMC iteration = 1011000
MCMC iteration = 1012000
MCMC iteration = 1013000
MCMC iteration = 1014000
MCMC iteration = 1015000
MCMC iteration = 1016000
MCMC iteration = 1017000
MCMC iteration = 1018000
MCMC iteration = 1019000
MCMC iteration = 1020000
MCMC iteration = 1021000
MCMC iteration = 1022000
MCMC iteration = 1023000
MCMC iteration = 1024000
MCMC iteration = 1025000
MCMC iteration = 1026000
MCMC iteration = 1027000
MCMC iteration = 1028000
MCMC iteration = 1029000
MCMC iteration = 1030000
MCMC iteration = 1031000
MCMC iteration = 1032000
MCMC iteration = 1033000
MCMC iteration = 1034000
MCMC iteration = 1035000
MCMC iteration = 1036000
MCMC iteration = 1037000
MCMC iteration = 1038000
MCMC iteration = 1039000
MCMC iteration = 1040000
MCMC iteration = 1041000
MCMC iteration = 1042000
MCMC iteration = 1043000
MCMC iteration = 1044000
MCMC iteration = 1045000
MCMC iteration = 1046000
MCMC iteration = 1047000
MCMC iteration = 1048000
MCMC iteration = 1049000
MCMC iteration = 1050000
MCMC iteration = 1051000
MCMC iteration = 1052000
MCMC iteration = 1053000
MCMC iteration = 1054000
MCMC iteration = 1055000
MCMC iteration = 1056000
MCMC iteration = 1057000
MCMC iteration = 1058000
MCMC iteration = 1059000
MCMC iteration = 1060000
MCMC iteration = 1061000
MCMC iteration = 1062000
MCMC iteration = 1063000
MCMC iteration = 1064000
MCMC iteration = 1065000
MCMC iteration = 1066000
MCMC iteration = 1067000
MCMC iteration = 1068000
MCMC iteration = 1069000
MCMC iteration = 1070000
MCMC iteration = 1071000
MCMC iteration = 1072000
MCMC iteration = 1073000
MCMC iteration = 1074000
MCMC iteration = 1075000
MCMC iteration = 1076000
MCMC iteration = 1077000
MCMC iteration = 1078000
MCMC iteration = 1079000
MCMC iteration = 1080000
MCMC iteration = 1081000
MCMC iteration = 1082000
MCMC iteration = 1083000
MCMC iteration = 1084000
MCMC iteration = 1085000
MCMC iteration = 1086000
MCMC iteration = 1087000
MCMC iteration = 1088000
MCMC iteration = 1089000
MCMC iteration = 1090000
MCMC iteration = 1091000
MCMC iteration = 1092000
MCMC iteration = 1093000
MCMC iteration = 1094000
MCMC iteration = 1095000
MCMC iteration = 1096000
MCMC iteration = 1097000
MCMC iteration = 1098000
MCMC iteration = 1099000
MCMC iteration = 1100000
MCMC iteration = 1101000
MCMC iteration = 1102000
MCMC iteration = 1103000
MCMC iteration = 1104000
MCMC iteration = 1105000
MCMC iteration = 1106000
MCMC iteration = 1107000
MCMC iteration = 1108000
MCMC iteration = 1109000
MCMC iteration = 1110000
MCMC iteration = 1111000
MCMC iteration = 1112000
MCMC iteration = 1113000
MCMC iteration = 1114000
MCMC iteration = 1115000
MCMC iteration = 1116000
MCMC iteration = 1117000
MCMC iteration = 1118000
MCMC iteration = 1119000
MCMC iteration = 1120000
MCMC iteration = 1121000
MCMC iteration = 1122000
MCMC iteration = 1123000
MCMC iteration = 1124000
MCMC iteration = 1125000
MCMC iteration = 1126000
MCMC iteration = 1127000
MCMC iteration = 1128000
MCMC iteration = 1129000
MCMC iteration = 1130000
MCMC iteration = 1131000
MCMC iteration = 1132000
MCMC iteration = 1133000
MCMC iteration = 1134000
MCMC iteration = 1135000
MCMC iteration = 1136000
MCMC iteration = 1137000
MCMC iteration = 1138000
MCMC iteration = 1139000
MCMC iteration = 1140000
MCMC iteration = 1141000
MCMC iteration = 1142000
MCMC iteration = 1143000
MCMC iteration = 1144000
MCMC iteration = 1145000
MCMC iteration = 1146000
MCMC iteration = 1147000
MCMC iteration = 1148000
MCMC iteration = 1149000
MCMC iteration = 1150000
MCMC iteration = 1151000
MCMC iteration = 1152000
MCMC iteration = 1153000
MCMC iteration = 1154000
MCMC iteration = 1155000
MCMC iteration = 1156000
MCMC iteration = 1157000
MCMC iteration = 1158000
MCMC iteration = 1159000
MCMC iteration = 1160000
MCMC iteration = 1161000
MCMC iteration = 1162000
MCMC iteration = 1163000
MCMC iteration = 1164000
MCMC iteration = 1165000
MCMC iteration = 1166000
MCMC iteration = 1167000
MCMC iteration = 1168000
MCMC iteration = 1169000
MCMC iteration = 1170000
MCMC iteration = 1171000
MCMC iteration = 1172000
MCMC iteration = 1173000
MCMC iteration = 1174000
MCMC iteration = 1175000
MCMC iteration = 1176000
MCMC iteration = 1177000
MCMC iteration = 1178000
MCMC iteration = 1179000
MCMC iteration = 1180000
MCMC iteration = 1181000
MCMC iteration = 1182000
MCMC iteration = 1183000
MCMC iteration = 1184000
MCMC iteration = 1185000
MCMC iteration = 1186000
MCMC iteration = 1187000
MCMC iteration = 1188000
MCMC iteration = 1189000
MCMC iteration = 1190000
MCMC iteration = 1191000
MCMC iteration = 1192000
MCMC iteration = 1193000
MCMC iteration = 1194000
MCMC iteration = 1195000
MCMC iteration = 1196000
MCMC iteration = 1197000
MCMC iteration = 1198000
MCMC iteration = 1199000
MCMC iteration = 1200000
MCMC iteration = 1201000
MCMC iteration = 1202000
MCMC iteration = 1203000
MCMC iteration = 1204000
MCMC iteration = 1205000
MCMC iteration = 1206000
MCMC iteration = 1207000
MCMC iteration = 1208000
MCMC iteration = 1209000
MCMC iteration = 1210000
MCMC iteration = 1211000
MCMC iteration = 1212000
MCMC iteration = 1213000
MCMC iteration = 1214000
MCMC iteration = 1215000
MCMC iteration = 1216000
MCMC iteration = 1217000
MCMC iteration = 1218000
MCMC iteration = 1219000
MCMC iteration = 1220000
MCMC iteration = 1221000
MCMC iteration = 1222000
MCMC iteration = 1223000
MCMC iteration = 1224000
MCMC iteration = 1225000
MCMC iteration = 1226000
MCMC iteration = 1227000
MCMC iteration = 1228000
MCMC iteration = 1229000
MCMC iteration = 1230000
MCMC iteration = 1231000
MCMC iteration = 1232000
MCMC iteration = 1233000
MCMC iteration = 1234000
MCMC iteration = 1235000
MCMC iteration = 1236000
MCMC iteration = 1237000
MCMC iteration = 1238000
MCMC iteration = 1239000
MCMC iteration = 1240000
MCMC iteration = 1241000
MCMC iteration = 1242000
MCMC iteration = 1243000
MCMC iteration = 1244000
MCMC iteration = 1245000
MCMC iteration = 1246000
MCMC iteration = 1247000
MCMC iteration = 1248000
MCMC iteration = 1249000
MCMC iteration = 1250000
MCMC iteration = 1251000
MCMC iteration = 1252000
MCMC iteration = 1253000
MCMC iteration = 1254000
MCMC iteration = 1255000
MCMC iteration = 1256000
MCMC iteration = 1257000
MCMC iteration = 1258000
MCMC iteration = 1259000
MCMC iteration = 1260000
MCMC iteration = 1261000
MCMC iteration = 1262000
MCMC iteration = 1263000
MCMC iteration = 1264000
MCMC iteration = 1265000
MCMC iteration = 1266000
MCMC iteration = 1267000
MCMC iteration = 1268000
MCMC iteration = 1269000
MCMC iteration = 1270000
MCMC iteration = 1271000
MCMC iteration = 1272000
MCMC iteration = 1273000
MCMC iteration = 1274000
MCMC iteration = 1275000
MCMC iteration = 1276000
MCMC iteration = 1277000
MCMC iteration = 1278000
MCMC iteration = 1279000
MCMC iteration = 1280000
MCMC iteration = 1281000
MCMC iteration = 1282000
MCMC iteration = 1283000
MCMC iteration = 1284000
MCMC iteration = 1285000
MCMC iteration = 1286000
MCMC iteration = 1287000
MCMC iteration = 1288000
MCMC iteration = 1289000
MCMC iteration = 1290000
MCMC iteration = 1291000
MCMC iteration = 1292000
MCMC iteration = 1293000
MCMC iteration = 1294000
MCMC iteration = 1295000
MCMC iteration = 1296000
MCMC iteration = 1297000
MCMC iteration = 1298000
MCMC iteration = 1299000
MCMC iteration = 1300000
MCMC iteration = 1301000
MCMC iteration = 1302000
MCMC iteration = 1303000
MCMC iteration = 1304000
MCMC iteration = 1305000
MCMC iteration = 1306000
MCMC iteration = 1307000
MCMC iteration = 1308000
MCMC iteration = 1309000
MCMC iteration = 1310000
MCMC iteration = 1311000
MCMC iteration = 1312000
MCMC iteration = 1313000
MCMC iteration = 1314000
MCMC iteration = 1315000
MCMC iteration = 1316000
MCMC iteration = 1317000
MCMC iteration = 1318000
MCMC iteration = 1319000
MCMC iteration = 1320000
MCMC iteration = 1321000
MCMC iteration = 1322000
MCMC iteration = 1323000
MCMC iteration = 1324000
MCMC iteration = 1325000
MCMC iteration = 1326000
MCMC iteration = 1327000
MCMC iteration = 1328000
MCMC iteration = 1329000
MCMC iteration = 1330000
MCMC iteration = 1331000
MCMC iteration = 1332000
MCMC iteration = 1333000
MCMC iteration = 1334000
MCMC iteration = 1335000
MCMC iteration = 1336000
MCMC iteration = 1337000
MCMC iteration = 1338000
MCMC iteration = 1339000
MCMC iteration = 1340000
MCMC iteration = 1341000
MCMC iteration = 1342000
MCMC iteration = 1343000
MCMC iteration = 1344000
MCMC iteration = 1345000
MCMC iteration = 1346000
MCMC iteration = 1347000
MCMC iteration = 1348000
MCMC iteration = 1349000
MCMC iteration = 1350000
MCMC iteration = 1351000
MCMC iteration = 1352000
MCMC iteration = 1353000
MCMC iteration = 1354000
MCMC iteration = 1355000
MCMC iteration = 1356000
MCMC iteration = 1357000
MCMC iteration = 1358000
MCMC iteration = 1359000
MCMC iteration = 1360000
MCMC iteration = 1361000
MCMC iteration = 1362000
MCMC iteration = 1363000
MCMC iteration = 1364000
MCMC iteration = 1365000
MCMC iteration = 1366000
MCMC iteration = 1367000
MCMC iteration = 1368000
MCMC iteration = 1369000
MCMC iteration = 1370000
MCMC iteration = 1371000
MCMC iteration = 1372000
MCMC iteration = 1373000
MCMC iteration = 1374000
MCMC iteration = 1375000
MCMC iteration = 1376000
MCMC iteration = 1377000
MCMC iteration = 1378000
MCMC iteration = 1379000
MCMC iteration = 1380000
MCMC iteration = 1381000
MCMC iteration = 1382000
MCMC iteration = 1383000
MCMC iteration = 1384000
MCMC iteration = 1385000
MCMC iteration = 1386000
MCMC iteration = 1387000
MCMC iteration = 1388000
MCMC iteration = 1389000
MCMC iteration = 1390000
MCMC iteration = 1391000
MCMC iteration = 1392000
MCMC iteration = 1393000
MCMC iteration = 1394000
MCMC iteration = 1395000
MCMC iteration = 1396000
MCMC iteration = 1397000
MCMC iteration = 1398000
MCMC iteration = 1399000
MCMC iteration = 1400000
MCMC iteration = 1401000
MCMC iteration = 1402000
MCMC iteration = 1403000
MCMC iteration = 1404000
MCMC iteration = 1405000
MCMC iteration = 1406000
MCMC iteration = 1407000
MCMC iteration = 1408000
MCMC iteration = 1409000
MCMC iteration = 1410000
MCMC iteration = 1411000
MCMC iteration = 1412000
MCMC iteration = 1413000
MCMC iteration = 1414000
MCMC iteration = 1415000
MCMC iteration = 1416000
MCMC iteration = 1417000
MCMC iteration = 1418000
MCMC iteration = 1419000
MCMC iteration = 1420000
MCMC iteration = 1421000
MCMC iteration = 1422000
MCMC iteration = 1423000
MCMC iteration = 1424000
MCMC iteration = 1425000
MCMC iteration = 1426000
MCMC iteration = 1427000
MCMC iteration = 1428000
MCMC iteration = 1429000
MCMC iteration = 1430000
MCMC iteration = 1431000
MCMC iteration = 1432000
MCMC iteration = 1433000
MCMC iteration = 1434000
MCMC iteration = 1435000
MCMC iteration = 1436000
MCMC iteration = 1437000
MCMC iteration = 1438000
MCMC iteration = 1439000
MCMC iteration = 1440000
MCMC iteration = 1441000
MCMC iteration = 1442000
MCMC iteration = 1443000
MCMC iteration = 1444000
MCMC iteration = 1445000
MCMC iteration = 1446000
MCMC iteration = 1447000
MCMC iteration = 1448000
MCMC iteration = 1449000
MCMC iteration = 1450000
MCMC iteration = 1451000
MCMC iteration = 1452000
MCMC iteration = 1453000
MCMC iteration = 1454000
MCMC iteration = 1455000
MCMC iteration = 1456000
MCMC iteration = 1457000
MCMC iteration = 1458000
MCMC iteration = 1459000
MCMC iteration = 1460000
MCMC iteration = 1461000
MCMC iteration = 1462000
MCMC iteration = 1463000
MCMC iteration = 1464000
MCMC iteration = 1465000
MCMC iteration = 1466000
MCMC iteration = 1467000
MCMC iteration = 1468000
MCMC iteration = 1469000
MCMC iteration = 1470000
MCMC iteration = 1471000
MCMC iteration = 1472000
MCMC iteration = 1473000
MCMC iteration = 1474000
MCMC iteration = 1475000
MCMC iteration = 1476000
MCMC iteration = 1477000
MCMC iteration = 1478000
MCMC iteration = 1479000
MCMC iteration = 1480000
MCMC iteration = 1481000
MCMC iteration = 1482000
MCMC iteration = 1483000
MCMC iteration = 1484000
MCMC iteration = 1485000
MCMC iteration = 1486000
MCMC iteration = 1487000
MCMC iteration = 1488000
MCMC iteration = 1489000
MCMC iteration = 1490000
MCMC iteration = 1491000
MCMC iteration = 1492000
MCMC iteration = 1493000
MCMC iteration = 1494000
MCMC iteration = 1495000
MCMC iteration = 1496000
MCMC iteration = 1497000
MCMC iteration = 1498000
MCMC iteration = 1499000
MCMC iteration = 1500000
MCMC iteration = 1501000
MCMC iteration = 1502000
MCMC iteration = 1503000
MCMC iteration = 1504000
MCMC iteration = 1505000
MCMC iteration = 1506000
MCMC iteration = 1507000
MCMC iteration = 1508000
MCMC iteration = 1509000
MCMC iteration = 1510000
MCMC iteration = 1511000
MCMC iteration = 1512000
MCMC iteration = 1513000
MCMC iteration = 1514000
MCMC iteration = 1515000
MCMC iteration = 1516000
MCMC iteration = 1517000
MCMC iteration = 1518000
MCMC iteration = 1519000
MCMC iteration = 1520000
MCMC iteration = 1521000
MCMC iteration = 1522000
MCMC iteration = 1523000
MCMC iteration = 1524000
MCMC iteration = 1525000
MCMC iteration = 1526000
MCMC iteration = 1527000
MCMC iteration = 1528000
MCMC iteration = 1529000
MCMC iteration = 1530000
MCMC iteration = 1531000
MCMC iteration = 1532000
MCMC iteration = 1533000
MCMC iteration = 1534000
MCMC iteration = 1535000
MCMC iteration = 1536000
MCMC iteration = 1537000
MCMC iteration = 1538000
MCMC iteration = 1539000
MCMC iteration = 1540000
MCMC iteration = 1541000
MCMC iteration = 1542000
MCMC iteration = 1543000
MCMC iteration = 1544000
MCMC iteration = 1545000
MCMC iteration = 1546000
MCMC iteration = 1547000
MCMC iteration = 1548000
MCMC iteration = 1549000
MCMC iteration = 1550000
MCMC iteration = 1551000
MCMC iteration = 1552000
MCMC iteration = 1553000
MCMC iteration = 1554000
MCMC iteration = 1555000
MCMC iteration = 1556000
MCMC iteration = 1557000
MCMC iteration = 1558000
MCMC iteration = 1559000
MCMC iteration = 1560000
MCMC iteration = 1561000
MCMC iteration = 1562000
MCMC iteration = 1563000
MCMC iteration = 1564000
MCMC iteration = 1565000
MCMC iteration = 1566000
MCMC iteration = 1567000
MCMC iteration = 1568000
MCMC iteration = 1569000
MCMC iteration = 1570000
MCMC iteration = 1571000
MCMC iteration = 1572000
MCMC iteration = 1573000
MCMC iteration = 1574000
MCMC iteration = 1575000
MCMC iteration = 1576000
MCMC iteration = 1577000
MCMC iteration = 1578000
MCMC iteration = 1579000
MCMC iteration = 1580000
MCMC iteration = 1581000
MCMC iteration = 1582000
MCMC iteration = 1583000
MCMC iteration = 1584000
MCMC iteration = 1585000
MCMC iteration = 1586000
MCMC iteration = 1587000
MCMC iteration = 1588000
MCMC iteration = 1589000
MCMC iteration = 1590000
MCMC iteration = 1591000
MCMC iteration = 1592000
MCMC iteration = 1593000
MCMC iteration = 1594000
MCMC iteration = 1595000
MCMC iteration = 1596000
MCMC iteration = 1597000
MCMC iteration = 1598000
MCMC iteration = 1599000
MCMC iteration = 1600000
MCMC iteration = 1601000
MCMC iteration = 1602000
MCMC iteration = 1603000
MCMC iteration = 1604000
MCMC iteration = 1605000
MCMC iteration = 1606000
MCMC iteration = 1607000
MCMC iteration = 1608000
MCMC iteration = 1609000
MCMC iteration = 1610000
MCMC iteration = 1611000
MCMC iteration = 1612000
MCMC iteration = 1613000
MCMC iteration = 1614000
MCMC iteration = 1615000
MCMC iteration = 1616000
MCMC iteration = 1617000
MCMC iteration = 1618000
MCMC iteration = 1619000
MCMC iteration = 1620000
MCMC iteration = 1621000
MCMC iteration = 1622000
MCMC iteration = 1623000
MCMC iteration = 1624000
MCMC iteration = 1625000
MCMC iteration = 1626000
MCMC iteration = 1627000
MCMC iteration = 1628000
MCMC iteration = 1629000
MCMC iteration = 1630000
MCMC iteration = 1631000
MCMC iteration = 1632000
MCMC iteration = 1633000
MCMC iteration = 1634000
MCMC iteration = 1635000
MCMC iteration = 1636000
MCMC iteration = 1637000
MCMC iteration = 1638000
MCMC iteration = 1639000
MCMC iteration = 1640000
MCMC iteration = 1641000
MCMC iteration = 1642000
MCMC iteration = 1643000
MCMC iteration = 1644000
MCMC iteration = 1645000
MCMC iteration = 1646000
MCMC iteration = 1647000
MCMC iteration = 1648000
MCMC iteration = 1649000
MCMC iteration = 1650000
MCMC iteration = 1651000
MCMC iteration = 1652000
MCMC iteration = 1653000
MCMC iteration = 1654000
MCMC iteration = 1655000
MCMC iteration = 1656000
MCMC iteration = 1657000
MCMC iteration = 1658000
MCMC iteration = 1659000
MCMC iteration = 1660000
MCMC iteration = 1661000
MCMC iteration = 1662000
MCMC iteration = 1663000
MCMC iteration = 1664000
MCMC iteration = 1665000
MCMC iteration = 1666000
MCMC iteration = 1667000
MCMC iteration = 1668000
MCMC iteration = 1669000
MCMC iteration = 1670000
MCMC iteration = 1671000
MCMC iteration = 1672000
MCMC iteration = 1673000
MCMC iteration = 1674000
MCMC iteration = 1675000
MCMC iteration = 1676000
MCMC iteration = 1677000
MCMC iteration = 1678000
MCMC iteration = 1679000
MCMC iteration = 1680000
MCMC iteration = 1681000
MCMC iteration = 1682000
MCMC iteration = 1683000
MCMC iteration = 1684000
MCMC iteration = 1685000
MCMC iteration = 1686000
MCMC iteration = 1687000
MCMC iteration = 1688000
MCMC iteration = 1689000
MCMC iteration = 1690000
MCMC iteration = 1691000
MCMC iteration = 1692000
MCMC iteration = 1693000
MCMC iteration = 1694000
MCMC iteration = 1695000
MCMC iteration = 1696000
MCMC iteration = 1697000
MCMC iteration = 1698000
MCMC iteration = 1699000
MCMC iteration = 1700000
MCMC iteration = 1701000
MCMC iteration = 1702000
MCMC iteration = 1703000
MCMC iteration = 1704000
MCMC iteration = 1705000
MCMC iteration = 1706000
MCMC iteration = 1707000
MCMC iteration = 1708000
MCMC iteration = 1709000
MCMC iteration = 1710000
MCMC iteration = 1711000
MCMC iteration = 1712000
MCMC iteration = 1713000
MCMC iteration = 1714000
MCMC iteration = 1715000
MCMC iteration = 1716000
MCMC iteration = 1717000
MCMC iteration = 1718000
MCMC iteration = 1719000
MCMC iteration = 1720000
MCMC iteration = 1721000
MCMC iteration = 1722000
MCMC iteration = 1723000
MCMC iteration = 1724000
MCMC iteration = 1725000
MCMC iteration = 1726000
MCMC iteration = 1727000
MCMC iteration = 1728000
MCMC iteration = 1729000
MCMC iteration = 1730000
MCMC iteration = 1731000
MCMC iteration = 1732000
MCMC iteration = 1733000
MCMC iteration = 1734000
MCMC iteration = 1735000
MCMC iteration = 1736000
MCMC iteration = 1737000
MCMC iteration = 1738000
MCMC iteration = 1739000
MCMC iteration = 1740000
MCMC iteration = 1741000
MCMC iteration = 1742000
MCMC iteration = 1743000
MCMC iteration = 1744000
MCMC iteration = 1745000
MCMC iteration = 1746000
MCMC iteration = 1747000
MCMC iteration = 1748000
MCMC iteration = 1749000
MCMC iteration = 1750000
MCMC iteration = 1751000
MCMC iteration = 1752000
MCMC iteration = 1753000
MCMC iteration = 1754000
MCMC iteration = 1755000
MCMC iteration = 1756000
MCMC iteration = 1757000
MCMC iteration = 1758000
MCMC iteration = 1759000
MCMC iteration = 1760000
MCMC iteration = 1761000
MCMC iteration = 1762000
MCMC iteration = 1763000
MCMC iteration = 1764000
MCMC iteration = 1765000
MCMC iteration = 1766000
MCMC iteration = 1767000
MCMC iteration = 1768000
MCMC iteration = 1769000
MCMC iteration = 1770000
MCMC iteration = 1771000
MCMC iteration = 1772000
MCMC iteration = 1773000
MCMC iteration = 1774000
MCMC iteration = 1775000
MCMC iteration = 1776000
MCMC iteration = 1777000
MCMC iteration = 1778000
MCMC iteration = 1779000
MCMC iteration = 1780000
MCMC iteration = 1781000
MCMC iteration = 1782000
MCMC iteration = 1783000
MCMC iteration = 1784000
MCMC iteration = 1785000
MCMC iteration = 1786000
MCMC iteration = 1787000
MCMC iteration = 1788000
MCMC iteration = 1789000
MCMC iteration = 1790000
MCMC iteration = 1791000
MCMC iteration = 1792000
MCMC iteration = 1793000
MCMC iteration = 1794000
MCMC iteration = 1795000
MCMC iteration = 1796000
MCMC iteration = 1797000
MCMC iteration = 1798000
MCMC iteration = 1799000
MCMC iteration = 1800000
MCMC iteration = 1801000
MCMC iteration = 1802000
MCMC iteration = 1803000
MCMC iteration = 1804000
MCMC iteration = 1805000
MCMC iteration = 1806000
MCMC iteration = 1807000
MCMC iteration = 1808000
MCMC iteration = 1809000
MCMC iteration = 1810000
MCMC iteration = 1811000
MCMC iteration = 1812000
MCMC iteration = 1813000
MCMC iteration = 1814000
MCMC iteration = 1815000
MCMC iteration = 1816000
MCMC iteration = 1817000
MCMC iteration = 1818000
MCMC iteration = 1819000
MCMC iteration = 1820000
MCMC iteration = 1821000
MCMC iteration = 1822000
MCMC iteration = 1823000
MCMC iteration = 1824000
MCMC iteration = 1825000
MCMC iteration = 1826000
MCMC iteration = 1827000
MCMC iteration = 1828000
MCMC iteration = 1829000
MCMC iteration = 1830000
MCMC iteration = 1831000
MCMC iteration = 1832000
MCMC iteration = 1833000
MCMC iteration = 1834000
MCMC iteration = 1835000
MCMC iteration = 1836000
MCMC iteration = 1837000
MCMC iteration = 1838000
MCMC iteration = 1839000
MCMC iteration = 1840000
MCMC iteration = 1841000
MCMC iteration = 1842000
MCMC iteration = 1843000
MCMC iteration = 1844000
MCMC iteration = 1845000
MCMC iteration = 1846000
MCMC iteration = 1847000
MCMC iteration = 1848000
MCMC iteration = 1849000
MCMC iteration = 1850000
MCMC iteration = 1851000
MCMC iteration = 1852000
MCMC iteration = 1853000
MCMC iteration = 1854000
MCMC iteration = 1855000
MCMC iteration = 1856000
MCMC iteration = 1857000
MCMC iteration = 1858000
MCMC iteration = 1859000
MCMC iteration = 1860000
MCMC iteration = 1861000
MCMC iteration = 1862000
MCMC iteration = 1863000
MCMC iteration = 1864000
MCMC iteration = 1865000
MCMC iteration = 1866000
MCMC iteration = 1867000
MCMC iteration = 1868000
MCMC iteration = 1869000
MCMC iteration = 1870000
MCMC iteration = 1871000
MCMC iteration = 1872000
MCMC iteration = 1873000
MCMC iteration = 1874000
MCMC iteration = 1875000
MCMC iteration = 1876000
MCMC iteration = 1877000
MCMC iteration = 1878000
MCMC iteration = 1879000
MCMC iteration = 1880000
MCMC iteration = 1881000
MCMC iteration = 1882000
MCMC iteration = 1883000
MCMC iteration = 1884000
MCMC iteration = 1885000
MCMC iteration = 1886000
MCMC iteration = 1887000
MCMC iteration = 1888000
MCMC iteration = 1889000
MCMC iteration = 1890000
MCMC iteration = 1891000
MCMC iteration = 1892000
MCMC iteration = 1893000
MCMC iteration = 1894000
MCMC iteration = 1895000
MCMC iteration = 1896000
MCMC iteration = 1897000
MCMC iteration = 1898000
MCMC iteration = 1899000
MCMC iteration = 1900000
MCMC iteration = 1901000
MCMC iteration = 1902000
MCMC iteration = 1903000
MCMC iteration = 1904000
MCMC iteration = 1905000
MCMC iteration = 1906000
MCMC iteration = 1907000
MCMC iteration = 1908000
MCMC iteration = 1909000
MCMC iteration = 1910000
MCMC iteration = 1911000
MCMC iteration = 1912000
MCMC iteration = 1913000
MCMC iteration = 1914000
MCMC iteration = 1915000
MCMC iteration = 1916000
MCMC iteration = 1917000
MCMC iteration = 1918000
MCMC iteration = 1919000
MCMC iteration = 1920000
MCMC iteration = 1921000
MCMC iteration = 1922000
MCMC iteration = 1923000
MCMC iteration = 1924000
MCMC iteration = 1925000
MCMC iteration = 1926000
MCMC iteration = 1927000
MCMC iteration = 1928000
MCMC iteration = 1929000
MCMC iteration = 1930000
MCMC iteration = 1931000
MCMC iteration = 1932000
MCMC iteration = 1933000
MCMC iteration = 1934000
MCMC iteration = 1935000
MCMC iteration = 1936000
MCMC iteration = 1937000
MCMC iteration = 1938000
MCMC iteration = 1939000
MCMC iteration = 1940000
MCMC iteration = 1941000
MCMC iteration = 1942000
MCMC iteration = 1943000
MCMC iteration = 1944000
MCMC iteration = 1945000
MCMC iteration = 1946000
MCMC iteration = 1947000
MCMC iteration = 1948000
MCMC iteration = 1949000
MCMC iteration = 1950000
MCMC iteration = 1951000
MCMC iteration = 1952000
MCMC iteration = 1953000
MCMC iteration = 1954000
MCMC iteration = 1955000
MCMC iteration = 1956000
MCMC iteration = 1957000
MCMC iteration = 1958000
MCMC iteration = 1959000
MCMC iteration = 1960000
MCMC iteration = 1961000
MCMC iteration = 1962000
MCMC iteration = 1963000
MCMC iteration = 1964000
MCMC iteration = 1965000
MCMC iteration = 1966000
MCMC iteration = 1967000
MCMC iteration = 1968000
MCMC iteration = 1969000
MCMC iteration = 1970000
MCMC iteration = 1971000
MCMC iteration = 1972000
MCMC iteration = 1973000
MCMC iteration = 1974000
MCMC iteration = 1975000
MCMC iteration = 1976000
MCMC iteration = 1977000
MCMC iteration = 1978000
MCMC iteration = 1979000
MCMC iteration = 1980000
MCMC iteration = 1981000
MCMC iteration = 1982000
MCMC iteration = 1983000
MCMC iteration = 1984000
MCMC iteration = 1985000
MCMC iteration = 1986000
MCMC iteration = 1987000
MCMC iteration = 1988000
MCMC iteration = 1989000
MCMC iteration = 1990000
MCMC iteration = 1991000
MCMC iteration = 1992000
MCMC iteration = 1993000
MCMC iteration = 1994000
MCMC iteration = 1995000
MCMC iteration = 1996000
MCMC iteration = 1997000
MCMC iteration = 1998000
MCMC iteration = 1999000
MCMC iteration = 2000000
MCMC iteration = 2001000
MCMC iteration = 2002000
MCMC iteration = 2003000
MCMC iteration = 2004000
MCMC iteration = 2005000
MCMC iteration = 2006000
MCMC iteration = 2007000
MCMC iteration = 2008000
MCMC iteration = 2009000
MCMC iteration = 2010000
MCMC iteration = 2011000
MCMC iteration = 2012000
MCMC iteration = 2013000
MCMC iteration = 2014000
MCMC iteration = 2015000
MCMC iteration = 2016000
MCMC iteration = 2017000
MCMC iteration = 2018000
MCMC iteration = 2019000
MCMC iteration = 2020000
MCMC iteration = 2021000
MCMC iteration = 2022000
MCMC iteration = 2023000
MCMC iteration = 2024000
MCMC iteration = 2025000
MCMC iteration = 2026000
MCMC iteration = 2027000
MCMC iteration = 2028000
MCMC iteration = 2029000
MCMC iteration = 2030000
MCMC iteration = 2031000
MCMC iteration = 2032000
MCMC iteration = 2033000
MCMC iteration = 2034000
MCMC iteration = 2035000
MCMC iteration = 2036000
MCMC iteration = 2037000
MCMC iteration = 2038000
MCMC iteration = 2039000
MCMC iteration = 2040000
MCMC iteration = 2041000
MCMC iteration = 2042000
MCMC iteration = 2043000
MCMC iteration = 2044000
MCMC iteration = 2045000
MCMC iteration = 2046000
MCMC iteration = 2047000
MCMC iteration = 2048000
MCMC iteration = 2049000
MCMC iteration = 2050000
MCMC iteration = 2051000
MCMC iteration = 2052000
MCMC iteration = 2053000
MCMC iteration = 2054000
MCMC iteration = 2055000
MCMC iteration = 2056000
MCMC iteration = 2057000
MCMC iteration = 2058000
MCMC iteration = 2059000
MCMC iteration = 2060000
MCMC iteration = 2061000
MCMC iteration = 2062000
MCMC iteration = 2063000
MCMC iteration = 2064000
MCMC iteration = 2065000
MCMC iteration = 2066000
MCMC iteration = 2067000
MCMC iteration = 2068000
MCMC iteration = 2069000
MCMC iteration = 2070000
MCMC iteration = 2071000
MCMC iteration = 2072000
MCMC iteration = 2073000
MCMC iteration = 2074000
MCMC iteration = 2075000
MCMC iteration = 2076000
MCMC iteration = 2077000
MCMC iteration = 2078000
MCMC iteration = 2079000
MCMC iteration = 2080000
MCMC iteration = 2081000
MCMC iteration = 2082000
MCMC iteration = 2083000
MCMC iteration = 2084000
MCMC iteration = 2085000
MCMC iteration = 2086000
MCMC iteration = 2087000
MCMC iteration = 2088000
MCMC iteration = 2089000
MCMC iteration = 2090000
MCMC iteration = 2091000
MCMC iteration = 2092000
MCMC iteration = 2093000
MCMC iteration = 2094000
MCMC iteration = 2095000
MCMC iteration = 2096000
MCMC iteration = 2097000
MCMC iteration = 2098000
MCMC iteration = 2099000
MCMC iteration = 2100000
MCMC iteration = 2101000
MCMC iteration = 2102000
MCMC iteration = 2103000
MCMC iteration = 2104000
MCMC iteration = 2105000
MCMC iteration = 2106000
MCMC iteration = 2107000
MCMC iteration = 2108000
MCMC iteration = 2109000
MCMC iteration = 2110000
MCMC iteration = 2111000
MCMC iteration = 2112000
MCMC iteration = 2113000
MCMC iteration = 2114000
MCMC iteration = 2115000
MCMC iteration = 2116000
MCMC iteration = 2117000
MCMC iteration = 2118000
MCMC iteration = 2119000
MCMC iteration = 2120000
MCMC iteration = 2121000
MCMC iteration = 2122000
MCMC iteration = 2123000
MCMC iteration = 2124000
MCMC iteration = 2125000
MCMC iteration = 2126000
MCMC iteration = 2127000
MCMC iteration = 2128000
MCMC iteration = 2129000
MCMC iteration = 2130000
MCMC iteration = 2131000
MCMC iteration = 2132000
MCMC iteration = 2133000
MCMC iteration = 2134000
MCMC iteration = 2135000
MCMC iteration = 2136000
MCMC iteration = 2137000
MCMC iteration = 2138000
MCMC iteration = 2139000
MCMC iteration = 2140000
MCMC iteration = 2141000
MCMC iteration = 2142000
MCMC iteration = 2143000
MCMC iteration = 2144000
MCMC iteration = 2145000
MCMC iteration = 2146000
MCMC iteration = 2147000
MCMC iteration = 2148000
MCMC iteration = 2149000
MCMC iteration = 2150000
MCMC iteration = 2151000
MCMC iteration = 2152000
MCMC iteration = 2153000
MCMC iteration = 2154000
MCMC iteration = 2155000
MCMC iteration = 2156000
MCMC iteration = 2157000
MCMC iteration = 2158000
MCMC iteration = 2159000
MCMC iteration = 2160000
MCMC iteration = 2161000
MCMC iteration = 2162000
MCMC iteration = 2163000
MCMC iteration = 2164000
MCMC iteration = 2165000
MCMC iteration = 2166000
MCMC iteration = 2167000
MCMC iteration = 2168000
MCMC iteration = 2169000
MCMC iteration = 2170000
MCMC iteration = 2171000
MCMC iteration = 2172000
MCMC iteration = 2173000
MCMC iteration = 2174000
MCMC iteration = 2175000
MCMC iteration = 2176000
MCMC iteration = 2177000
MCMC iteration = 2178000
MCMC iteration = 2179000
MCMC iteration = 2180000
MCMC iteration = 2181000
MCMC iteration = 2182000
MCMC iteration = 2183000
MCMC iteration = 2184000
MCMC iteration = 2185000
MCMC iteration = 2186000
MCMC iteration = 2187000
MCMC iteration = 2188000
MCMC iteration = 2189000
MCMC iteration = 2190000
MCMC iteration = 2191000
MCMC iteration = 2192000
MCMC iteration = 2193000
MCMC iteration = 2194000
MCMC iteration = 2195000
MCMC iteration = 2196000
MCMC iteration = 2197000
MCMC iteration = 2198000
MCMC iteration = 2199000
MCMC iteration = 2200000
MCMC iteration = 2201000
MCMC iteration = 2202000
MCMC iteration = 2203000
MCMC iteration = 2204000
MCMC iteration = 2205000
MCMC iteration = 2206000
MCMC iteration = 2207000
MCMC iteration = 2208000
MCMC iteration = 2209000
MCMC iteration = 2210000
MCMC iteration = 2211000
MCMC iteration = 2212000
MCMC iteration = 2213000
MCMC iteration = 2214000
MCMC iteration = 2215000
MCMC iteration = 2216000
MCMC iteration = 2217000
MCMC iteration = 2218000
MCMC iteration = 2219000
MCMC iteration = 2220000
MCMC iteration = 2221000
MCMC iteration = 2222000
MCMC iteration = 2223000
MCMC iteration = 2224000
MCMC iteration = 2225000
MCMC iteration = 2226000
MCMC iteration = 2227000
MCMC iteration = 2228000
MCMC iteration = 2229000
MCMC iteration = 2230000
MCMC iteration = 2231000
MCMC iteration = 2232000
MCMC iteration = 2233000
MCMC iteration = 2234000
MCMC iteration = 2235000
MCMC iteration = 2236000
MCMC iteration = 2237000
MCMC iteration = 2238000
MCMC iteration = 2239000
MCMC iteration = 2240000
MCMC iteration = 2241000
MCMC iteration = 2242000
MCMC iteration = 2243000
MCMC iteration = 2244000
MCMC iteration = 2245000
MCMC iteration = 2246000
MCMC iteration = 2247000
MCMC iteration = 2248000
MCMC iteration = 2249000
MCMC iteration = 2250000
MCMC iteration = 2251000
MCMC iteration = 2252000
MCMC iteration = 2253000
MCMC iteration = 2254000
MCMC iteration = 2255000
MCMC iteration = 2256000
MCMC iteration = 2257000
MCMC iteration = 2258000
MCMC iteration = 2259000
MCMC iteration = 2260000
MCMC iteration = 2261000
MCMC iteration = 2262000
MCMC iteration = 2263000
MCMC iteration = 2264000
MCMC iteration = 2265000
MCMC iteration = 2266000
MCMC iteration = 2267000
MCMC iteration = 2268000
MCMC iteration = 2269000
MCMC iteration = 2270000
MCMC iteration = 2271000
MCMC iteration = 2272000
MCMC iteration = 2273000
MCMC iteration = 2274000
MCMC iteration = 2275000
MCMC iteration = 2276000
MCMC iteration = 2277000
MCMC iteration = 2278000
MCMC iteration = 2279000
MCMC iteration = 2280000
MCMC iteration = 2281000
MCMC iteration = 2282000
MCMC iteration = 2283000
MCMC iteration = 2284000
MCMC iteration = 2285000
MCMC iteration = 2286000
MCMC iteration = 2287000
MCMC iteration = 2288000
MCMC iteration = 2289000
MCMC iteration = 2290000
MCMC iteration = 2291000
MCMC iteration = 2292000
MCMC iteration = 2293000
MCMC iteration = 2294000
MCMC iteration = 2295000
MCMC iteration = 2296000
MCMC iteration = 2297000
MCMC iteration = 2298000
MCMC iteration = 2299000
MCMC iteration = 2300000
MCMC iteration = 2301000
MCMC iteration = 2302000
MCMC iteration = 2303000
MCMC iteration = 2304000
MCMC iteration = 2305000
MCMC iteration = 2306000
MCMC iteration = 2307000
MCMC iteration = 2308000
MCMC iteration = 2309000
MCMC iteration = 2310000
MCMC iteration = 2311000
MCMC iteration = 2312000
MCMC iteration = 2313000
MCMC iteration = 2314000
MCMC iteration = 2315000
MCMC iteration = 2316000
MCMC iteration = 2317000
MCMC iteration = 2318000
MCMC iteration = 2319000
MCMC iteration = 2320000
MCMC iteration = 2321000
MCMC iteration = 2322000
MCMC iteration = 2323000
MCMC iteration = 2324000
MCMC iteration = 2325000
MCMC iteration = 2326000
MCMC iteration = 2327000
MCMC iteration = 2328000
MCMC iteration = 2329000
MCMC iteration = 2330000
MCMC iteration = 2331000
MCMC iteration = 2332000
MCMC iteration = 2333000
MCMC iteration = 2334000
MCMC iteration = 2335000
MCMC iteration = 2336000
MCMC iteration = 2337000
MCMC iteration = 2338000
MCMC iteration = 2339000
MCMC iteration = 2340000
MCMC iteration = 2341000
MCMC iteration = 2342000
MCMC iteration = 2343000
MCMC iteration = 2344000
MCMC iteration = 2345000
MCMC iteration = 2346000
MCMC iteration = 2347000
MCMC iteration = 2348000
MCMC iteration = 2349000
MCMC iteration = 2350000
MCMC iteration = 2351000
MCMC iteration = 2352000
MCMC iteration = 2353000
MCMC iteration = 2354000
MCMC iteration = 2355000
MCMC iteration = 2356000
MCMC iteration = 2357000
MCMC iteration = 2358000
MCMC iteration = 2359000
MCMC iteration = 2360000
MCMC iteration = 2361000
MCMC iteration = 2362000
MCMC iteration = 2363000
MCMC iteration = 2364000
MCMC iteration = 2365000
MCMC iteration = 2366000
MCMC iteration = 2367000
MCMC iteration = 2368000
MCMC iteration = 2369000
MCMC iteration = 2370000
MCMC iteration = 2371000
MCMC iteration = 2372000
MCMC iteration = 2373000
MCMC iteration = 2374000
MCMC iteration = 2375000
MCMC iteration = 2376000
MCMC iteration = 2377000
MCMC iteration = 2378000
MCMC iteration = 2379000
MCMC iteration = 2380000
MCMC iteration = 2381000
MCMC iteration = 2382000
MCMC iteration = 2383000
MCMC iteration = 2384000
MCMC iteration = 2385000
MCMC iteration = 2386000
MCMC iteration = 2387000
MCMC iteration = 2388000
MCMC iteration = 2389000
MCMC iteration = 2390000
MCMC iteration = 2391000
MCMC iteration = 2392000
MCMC iteration = 2393000
MCMC iteration = 2394000
MCMC iteration = 2395000
MCMC iteration = 2396000
MCMC iteration = 2397000
MCMC iteration = 2398000
MCMC iteration = 2399000
MCMC iteration = 2400000
MCMC iteration = 2401000
MCMC iteration = 2402000
MCMC iteration = 2403000
MCMC iteration = 2404000
MCMC iteration = 2405000
MCMC iteration = 2406000
MCMC iteration = 2407000
MCMC iteration = 2408000
MCMC iteration = 2409000
MCMC iteration = 2410000
MCMC iteration = 2411000
MCMC iteration = 2412000
MCMC iteration = 2413000
MCMC iteration = 2414000
MCMC iteration = 2415000
MCMC iteration = 2416000
MCMC iteration = 2417000
MCMC iteration = 2418000
MCMC iteration = 2419000
MCMC iteration = 2420000
MCMC iteration = 2421000
MCMC iteration = 2422000
MCMC iteration = 2423000
MCMC iteration = 2424000
MCMC iteration = 2425000
MCMC iteration = 2426000
MCMC iteration = 2427000
MCMC iteration = 2428000
MCMC iteration = 2429000
MCMC iteration = 2430000
MCMC iteration = 2431000
MCMC iteration = 2432000
MCMC iteration = 2433000
MCMC iteration = 2434000
MCMC iteration = 2435000
MCMC iteration = 2436000
MCMC iteration = 2437000
MCMC iteration = 2438000
MCMC iteration = 2439000
MCMC iteration = 2440000
MCMC iteration = 2441000
MCMC iteration = 2442000
MCMC iteration = 2443000
MCMC iteration = 2444000
MCMC iteration = 2445000
MCMC iteration = 2446000
MCMC iteration = 2447000
MCMC iteration = 2448000
MCMC iteration = 2449000
MCMC iteration = 2450000
MCMC iteration = 2451000
MCMC iteration = 2452000
MCMC iteration = 2453000
MCMC iteration = 2454000
MCMC iteration = 2455000
MCMC iteration = 2456000
MCMC iteration = 2457000
MCMC iteration = 2458000
MCMC iteration = 2459000
MCMC iteration = 2460000
MCMC iteration = 2461000
MCMC iteration = 2462000
MCMC iteration = 2463000
MCMC iteration = 2464000
MCMC iteration = 2465000
MCMC iteration = 2466000
MCMC iteration = 2467000
MCMC iteration = 2468000
MCMC iteration = 2469000
MCMC iteration = 2470000
MCMC iteration = 2471000
MCMC iteration = 2472000
MCMC iteration = 2473000
MCMC iteration = 2474000
MCMC iteration = 2475000
MCMC iteration = 2476000
MCMC iteration = 2477000
MCMC iteration = 2478000
MCMC iteration = 2479000
MCMC iteration = 2480000
MCMC iteration = 2481000
MCMC iteration = 2482000
MCMC iteration = 2483000
MCMC iteration = 2484000
MCMC iteration = 2485000
MCMC iteration = 2486000
MCMC iteration = 2487000
MCMC iteration = 2488000
MCMC iteration = 2489000
MCMC iteration = 2490000
MCMC iteration = 2491000
MCMC iteration = 2492000
MCMC iteration = 2493000
MCMC iteration = 2494000
MCMC iteration = 2495000
MCMC iteration = 2496000
MCMC iteration = 2497000
MCMC iteration = 2498000
MCMC iteration = 2499000
MCMC iteration = 2500000
MCMC iteration = 2501000
MCMC iteration = 2502000
MCMC iteration = 2503000
MCMC iteration = 2504000
MCMC iteration = 2505000
MCMC iteration = 2506000
MCMC iteration = 2507000
MCMC iteration = 2508000
MCMC iteration = 2509000
MCMC iteration = 2510000
MCMC iteration = 2511000
MCMC iteration = 2512000
MCMC iteration = 2513000
MCMC iteration = 2514000
MCMC iteration = 2515000
MCMC iteration = 2516000
MCMC iteration = 2517000
MCMC iteration = 2518000
MCMC iteration = 2519000
MCMC iteration = 2520000
MCMC iteration = 2521000
MCMC iteration = 2522000
MCMC iteration = 2523000
MCMC iteration = 2524000
MCMC iteration = 2525000
MCMC iteration = 2526000
MCMC iteration = 2527000
MCMC iteration = 2528000
MCMC iteration = 2529000
MCMC iteration = 2530000
MCMC iteration = 2531000
MCMC iteration = 2532000
MCMC iteration = 2533000
MCMC iteration = 2534000
MCMC iteration = 2535000
MCMC iteration = 2536000
MCMC iteration = 2537000
MCMC iteration = 2538000
MCMC iteration = 2539000
MCMC iteration = 2540000
MCMC iteration = 2541000
MCMC iteration = 2542000
MCMC iteration = 2543000
MCMC iteration = 2544000
MCMC iteration = 2545000
MCMC iteration = 2546000
MCMC iteration = 2547000
MCMC iteration = 2548000
MCMC iteration = 2549000
MCMC iteration = 2550000
MCMC iteration = 2551000
MCMC iteration = 2552000
MCMC iteration = 2553000
MCMC iteration = 2554000
MCMC iteration = 2555000
MCMC iteration = 2556000
MCMC iteration = 2557000
MCMC iteration = 2558000
MCMC iteration = 2559000
MCMC iteration = 2560000
MCMC iteration = 2561000
MCMC iteration = 2562000
MCMC iteration = 2563000
MCMC iteration = 2564000
MCMC iteration = 2565000
MCMC iteration = 2566000
MCMC iteration = 2567000
MCMC iteration = 2568000
MCMC iteration = 2569000
MCMC iteration = 2570000
MCMC iteration = 2571000
MCMC iteration = 2572000
MCMC iteration = 2573000
MCMC iteration = 2574000
MCMC iteration = 2575000
MCMC iteration = 2576000
MCMC iteration = 2577000
MCMC iteration = 2578000
MCMC iteration = 2579000
MCMC iteration = 2580000
MCMC iteration = 2581000
MCMC iteration = 2582000
MCMC iteration = 2583000
MCMC iteration = 2584000
MCMC iteration = 2585000
MCMC iteration = 2586000
MCMC iteration = 2587000
MCMC iteration = 2588000
MCMC iteration = 2589000
MCMC iteration = 2590000
MCMC iteration = 2591000
MCMC iteration = 2592000
MCMC iteration = 2593000
MCMC iteration = 2594000
MCMC iteration = 2595000
MCMC iteration = 2596000
MCMC iteration = 2597000
MCMC iteration = 2598000
MCMC iteration = 2599000
MCMC iteration = 2600000
MCMC iteration = 2601000
MCMC iteration = 2602000
MCMC iteration = 2603000
MCMC iteration = 2604000
MCMC iteration = 2605000
MCMC iteration = 2606000
MCMC iteration = 2607000
MCMC iteration = 2608000
MCMC iteration = 2609000
MCMC iteration = 2610000
MCMC iteration = 2611000
MCMC iteration = 2612000
MCMC iteration = 2613000
MCMC iteration = 2614000
MCMC iteration = 2615000
MCMC iteration = 2616000
MCMC iteration = 2617000
MCMC iteration = 2618000
MCMC iteration = 2619000
MCMC iteration = 2620000
MCMC iteration = 2621000
MCMC iteration = 2622000
MCMC iteration = 2623000
MCMC iteration = 2624000
MCMC iteration = 2625000
MCMC iteration = 2626000
MCMC iteration = 2627000
MCMC iteration = 2628000
MCMC iteration = 2629000
MCMC iteration = 2630000
MCMC iteration = 2631000
MCMC iteration = 2632000
MCMC iteration = 2633000
MCMC iteration = 2634000
MCMC iteration = 2635000
MCMC iteration = 2636000
MCMC iteration = 2637000
MCMC iteration = 2638000
MCMC iteration = 2639000
MCMC iteration = 2640000
MCMC iteration = 2641000
MCMC iteration = 2642000
MCMC iteration = 2643000
MCMC iteration = 2644000
MCMC iteration = 2645000
MCMC iteration = 2646000
MCMC iteration = 2647000
MCMC iteration = 2648000
MCMC iteration = 2649000
MCMC iteration = 2650000
MCMC iteration = 2651000
MCMC iteration = 2652000
MCMC iteration = 2653000
MCMC iteration = 2654000
MCMC iteration = 2655000
MCMC iteration = 2656000
MCMC iteration = 2657000
MCMC iteration = 2658000
MCMC iteration = 2659000
MCMC iteration = 2660000
MCMC iteration = 2661000
MCMC iteration = 2662000
MCMC iteration = 2663000
MCMC iteration = 2664000
MCMC iteration = 2665000
MCMC iteration = 2666000
MCMC iteration = 2667000
MCMC iteration = 2668000
MCMC iteration = 2669000
MCMC iteration = 2670000
MCMC iteration = 2671000
MCMC iteration = 2672000
MCMC iteration = 2673000
MCMC iteration = 2674000
MCMC iteration = 2675000
MCMC iteration = 2676000
MCMC iteration = 2677000
MCMC iteration = 2678000
MCMC iteration = 2679000
MCMC iteration = 2680000
MCMC iteration = 2681000
MCMC iteration = 2682000
MCMC iteration = 2683000
MCMC iteration = 2684000
MCMC iteration = 2685000
MCMC iteration = 2686000
MCMC iteration = 2687000
MCMC iteration = 2688000
MCMC iteration = 2689000
MCMC iteration = 2690000
MCMC iteration = 2691000
MCMC iteration = 2692000
MCMC iteration = 2693000
MCMC iteration = 2694000
MCMC iteration = 2695000
MCMC iteration = 2696000
MCMC iteration = 2697000
MCMC iteration = 2698000
MCMC iteration = 2699000
MCMC iteration = 2700000
MCMC iteration = 2701000
MCMC iteration = 2702000
MCMC iteration = 2703000
MCMC iteration = 2704000
MCMC iteration = 2705000
MCMC iteration = 2706000
MCMC iteration = 2707000
MCMC iteration = 2708000
MCMC iteration = 2709000
MCMC iteration = 2710000
MCMC iteration = 2711000
MCMC iteration = 2712000
MCMC iteration = 2713000
MCMC iteration = 2714000
MCMC iteration = 2715000
MCMC iteration = 2716000
MCMC iteration = 2717000
MCMC iteration = 2718000
MCMC iteration = 2719000
MCMC iteration = 2720000
MCMC iteration = 2721000
MCMC iteration = 2722000
MCMC iteration = 2723000
MCMC iteration = 2724000
MCMC iteration = 2725000
MCMC iteration = 2726000
MCMC iteration = 2727000
MCMC iteration = 2728000
MCMC iteration = 2729000
MCMC iteration = 2730000
MCMC iteration = 2731000
MCMC iteration = 2732000
MCMC iteration = 2733000
MCMC iteration = 2734000
MCMC iteration = 2735000
MCMC iteration = 2736000
MCMC iteration = 2737000
MCMC iteration = 2738000
MCMC iteration = 2739000
MCMC iteration = 2740000
MCMC iteration = 2741000
MCMC iteration = 2742000
MCMC iteration = 2743000
MCMC iteration = 2744000
MCMC iteration = 2745000
MCMC iteration = 2746000
MCMC iteration = 2747000
MCMC iteration = 2748000
MCMC iteration = 2749000
MCMC iteration = 2750000
MCMC iteration = 2751000
MCMC iteration = 2752000
MCMC iteration = 2753000
MCMC iteration = 2754000
MCMC iteration = 2755000
MCMC iteration = 2756000
MCMC iteration = 2757000
MCMC iteration = 2758000
MCMC iteration = 2759000
MCMC iteration = 2760000
MCMC iteration = 2761000
MCMC iteration = 2762000
MCMC iteration = 2763000
MCMC iteration = 2764000
MCMC iteration = 2765000
MCMC iteration = 2766000
MCMC iteration = 2767000
MCMC iteration = 2768000
MCMC iteration = 2769000
MCMC iteration = 2770000
MCMC iteration = 2771000
MCMC iteration = 2772000
MCMC iteration = 2773000
MCMC iteration = 2774000
MCMC iteration = 2775000
MCMC iteration = 2776000
MCMC iteration = 2777000
MCMC iteration = 2778000
MCMC iteration = 2779000
MCMC iteration = 2780000
MCMC iteration = 2781000
MCMC iteration = 2782000
MCMC iteration = 2783000
MCMC iteration = 2784000
MCMC iteration = 2785000
MCMC iteration = 2786000
MCMC iteration = 2787000
MCMC iteration = 2788000
MCMC iteration = 2789000
MCMC iteration = 2790000
MCMC iteration = 2791000
MCMC iteration = 2792000
MCMC iteration = 2793000
MCMC iteration = 2794000
MCMC iteration = 2795000
MCMC iteration = 2796000
MCMC iteration = 2797000
MCMC iteration = 2798000
MCMC iteration = 2799000
MCMC iteration = 2800000
MCMC iteration = 2801000
MCMC iteration = 2802000
MCMC iteration = 2803000
MCMC iteration = 2804000
MCMC iteration = 2805000
MCMC iteration = 2806000
MCMC iteration = 2807000
MCMC iteration = 2808000
MCMC iteration = 2809000
MCMC iteration = 2810000
MCMC iteration = 2811000
MCMC iteration = 2812000
MCMC iteration = 2813000
MCMC iteration = 2814000
MCMC iteration = 2815000
MCMC iteration = 2816000
MCMC iteration = 2817000
MCMC iteration = 2818000
MCMC iteration = 2819000
MCMC iteration = 2820000
MCMC iteration = 2821000
MCMC iteration = 2822000
MCMC iteration = 2823000
MCMC iteration = 2824000
MCMC iteration = 2825000
MCMC iteration = 2826000
MCMC iteration = 2827000
MCMC iteration = 2828000
MCMC iteration = 2829000
MCMC iteration = 2830000
MCMC iteration = 2831000
MCMC iteration = 2832000
MCMC iteration = 2833000
MCMC iteration = 2834000
MCMC iteration = 2835000
MCMC iteration = 2836000
MCMC iteration = 2837000
MCMC iteration = 2838000
MCMC iteration = 2839000
MCMC iteration = 2840000
MCMC iteration = 2841000
MCMC iteration = 2842000
MCMC iteration = 2843000
MCMC iteration = 2844000
MCMC iteration = 2845000
MCMC iteration = 2846000
MCMC iteration = 2847000
MCMC iteration = 2848000
MCMC iteration = 2849000
MCMC iteration = 2850000
MCMC iteration = 2851000
MCMC iteration = 2852000
MCMC iteration = 2853000
MCMC iteration = 2854000
MCMC iteration = 2855000
MCMC iteration = 2856000
MCMC iteration = 2857000
MCMC iteration = 2858000
MCMC iteration = 2859000
MCMC iteration = 2860000
MCMC iteration = 2861000
MCMC iteration = 2862000
MCMC iteration = 2863000
MCMC iteration = 2864000
MCMC iteration = 2865000
MCMC iteration = 2866000
MCMC iteration = 2867000
MCMC iteration = 2868000
MCMC iteration = 2869000
MCMC iteration = 2870000
MCMC iteration = 2871000
MCMC iteration = 2872000
MCMC iteration = 2873000
MCMC iteration = 2874000
MCMC iteration = 2875000
MCMC iteration = 2876000
MCMC iteration = 2877000
MCMC iteration = 2878000
MCMC iteration = 2879000
MCMC iteration = 2880000
MCMC iteration = 2881000
MCMC iteration = 2882000
MCMC iteration = 2883000
MCMC iteration = 2884000
MCMC iteration = 2885000
MCMC iteration = 2886000
MCMC iteration = 2887000
MCMC iteration = 2888000
MCMC iteration = 2889000
MCMC iteration = 2890000
MCMC iteration = 2891000
MCMC iteration = 2892000
MCMC iteration = 2893000
MCMC iteration = 2894000
MCMC iteration = 2895000
MCMC iteration = 2896000
MCMC iteration = 2897000
MCMC iteration = 2898000
MCMC iteration = 2899000
MCMC iteration = 2900000
MCMC iteration = 2901000
MCMC iteration = 2902000
MCMC iteration = 2903000
MCMC iteration = 2904000
MCMC iteration = 2905000
MCMC iteration = 2906000
MCMC iteration = 2907000
MCMC iteration = 2908000
MCMC iteration = 2909000
MCMC iteration = 2910000
MCMC iteration = 2911000
MCMC iteration = 2912000
MCMC iteration = 2913000
MCMC iteration = 2914000
MCMC iteration = 2915000
MCMC iteration = 2916000
MCMC iteration = 2917000
MCMC iteration = 2918000
MCMC iteration = 2919000
MCMC iteration = 2920000
MCMC iteration = 2921000
MCMC iteration = 2922000
MCMC iteration = 2923000
MCMC iteration = 2924000
MCMC iteration = 2925000
MCMC iteration = 2926000
MCMC iteration = 2927000
MCMC iteration = 2928000
MCMC iteration = 2929000
MCMC iteration = 2930000
MCMC iteration = 2931000
MCMC iteration = 2932000
MCMC iteration = 2933000
MCMC iteration = 2934000
MCMC iteration = 2935000
MCMC iteration = 2936000
MCMC iteration = 2937000
MCMC iteration = 2938000
MCMC iteration = 2939000
MCMC iteration = 2940000
MCMC iteration = 2941000
MCMC iteration = 2942000
MCMC iteration = 2943000
MCMC iteration = 2944000
MCMC iteration = 2945000
MCMC iteration = 2946000
MCMC iteration = 2947000
MCMC iteration = 2948000
MCMC iteration = 2949000
MCMC iteration = 2950000
MCMC iteration = 2951000
MCMC iteration = 2952000
MCMC iteration = 2953000
MCMC iteration = 2954000
MCMC iteration = 2955000
MCMC iteration = 2956000
MCMC iteration = 2957000
MCMC iteration = 2958000
MCMC iteration = 2959000
MCMC iteration = 2960000
MCMC iteration = 2961000
MCMC iteration = 2962000
MCMC iteration = 2963000
MCMC iteration = 2964000
MCMC iteration = 2965000
MCMC iteration = 2966000
MCMC iteration = 2967000
MCMC iteration = 2968000
MCMC iteration = 2969000
MCMC iteration = 2970000
MCMC iteration = 2971000
MCMC iteration = 2972000
MCMC iteration = 2973000
MCMC iteration = 2974000
MCMC iteration = 2975000
MCMC iteration = 2976000
MCMC iteration = 2977000
MCMC iteration = 2978000
MCMC iteration = 2979000
MCMC iteration = 2980000
MCMC iteration = 2981000
MCMC iteration = 2982000
MCMC iteration = 2983000
MCMC iteration = 2984000
MCMC iteration = 2985000
MCMC iteration = 2986000
MCMC iteration = 2987000
MCMC iteration = 2988000
MCMC iteration = 2989000
MCMC iteration = 2990000
MCMC iteration = 2991000
MCMC iteration = 2992000
MCMC iteration = 2993000
MCMC iteration = 2994000
MCMC iteration = 2995000
MCMC iteration = 2996000
MCMC iteration = 2997000
MCMC iteration = 2998000
MCMC iteration = 2999000
MCMC iteration = 3000000
MCMC iteration = 3001000
MCMC iteration = 3002000
MCMC iteration = 3003000
MCMC iteration = 3004000
MCMC iteration = 3005000
MCMC iteration = 3006000
MCMC iteration = 3007000
MCMC iteration = 3008000
MCMC iteration = 3009000
MCMC iteration = 3010000
MCMC iteration = 3011000
MCMC iteration = 3012000
MCMC iteration = 3013000
MCMC iteration = 3014000
MCMC iteration = 3015000
MCMC iteration = 3016000
MCMC iteration = 3017000
MCMC iteration = 3018000
MCMC iteration = 3019000
MCMC iteration = 3020000
MCMC iteration = 3021000
MCMC iteration = 3022000
MCMC iteration = 3023000
MCMC iteration = 3024000
MCMC iteration = 3025000
MCMC iteration = 3026000
MCMC iteration = 3027000
MCMC iteration = 3028000
MCMC iteration = 3029000
MCMC iteration = 3030000
MCMC iteration = 3031000
MCMC iteration = 3032000
MCMC iteration = 3033000
MCMC iteration = 3034000
MCMC iteration = 3035000
MCMC iteration = 3036000
MCMC iteration = 3037000
MCMC iteration = 3038000
MCMC iteration = 3039000
MCMC iteration = 3040000
MCMC iteration = 3041000
MCMC iteration = 3042000
MCMC iteration = 3043000
MCMC iteration = 3044000
MCMC iteration = 3045000
MCMC iteration = 3046000
MCMC iteration = 3047000
MCMC iteration = 3048000
MCMC iteration = 3049000
MCMC iteration = 3050000
MCMC iteration = 3051000
MCMC iteration = 3052000
MCMC iteration = 3053000
MCMC iteration = 3054000
MCMC iteration = 3055000
MCMC iteration = 3056000
MCMC iteration = 3057000
MCMC iteration = 3058000
MCMC iteration = 3059000
MCMC iteration = 3060000
MCMC iteration = 3061000
MCMC iteration = 3062000
MCMC iteration = 3063000
MCMC iteration = 3064000
MCMC iteration = 3065000
MCMC iteration = 3066000
MCMC iteration = 3067000
MCMC iteration = 3068000
MCMC iteration = 3069000
MCMC iteration = 3070000
MCMC iteration = 3071000
MCMC iteration = 3072000
MCMC iteration = 3073000
MCMC iteration = 3074000
MCMC iteration = 3075000
MCMC iteration = 3076000
MCMC iteration = 3077000
MCMC iteration = 3078000
MCMC iteration = 3079000
MCMC iteration = 3080000
MCMC iteration = 3081000
MCMC iteration = 3082000
MCMC iteration = 3083000
MCMC iteration = 3084000
MCMC iteration = 3085000
MCMC iteration = 3086000
MCMC iteration = 3087000
MCMC iteration = 3088000
MCMC iteration = 3089000
MCMC iteration = 3090000
MCMC iteration = 3091000
MCMC iteration = 3092000
MCMC iteration = 3093000
MCMC iteration = 3094000
MCMC iteration = 3095000
MCMC iteration = 3096000
MCMC iteration = 3097000
MCMC iteration = 3098000
MCMC iteration = 3099000
MCMC iteration = 3100000
MCMC iteration = 3101000
MCMC iteration = 3102000
MCMC iteration = 3103000
MCMC iteration = 3104000
MCMC iteration = 3105000
MCMC iteration = 3106000
MCMC iteration = 3107000
MCMC iteration = 3108000
MCMC iteration = 3109000
MCMC iteration = 3110000
MCMC iteration = 3111000
MCMC iteration = 3112000
MCMC iteration = 3113000
MCMC iteration = 3114000
MCMC iteration = 3115000
MCMC iteration = 3116000
MCMC iteration = 3117000
MCMC iteration = 3118000
MCMC iteration = 3119000
MCMC iteration = 3120000
MCMC iteration = 3121000
MCMC iteration = 3122000
MCMC iteration = 3123000
MCMC iteration = 3124000
MCMC iteration = 3125000
MCMC iteration = 3126000
MCMC iteration = 3127000
MCMC iteration = 3128000
MCMC iteration = 3129000
MCMC iteration = 3130000
MCMC iteration = 3131000
MCMC iteration = 3132000
MCMC iteration = 3133000
MCMC iteration = 3134000
MCMC iteration = 3135000
MCMC iteration = 3136000
MCMC iteration = 3137000
MCMC iteration = 3138000
MCMC iteration = 3139000
MCMC iteration = 3140000
MCMC iteration = 3141000
MCMC iteration = 3142000
MCMC iteration = 3143000
MCMC iteration = 3144000
MCMC iteration = 3145000
MCMC iteration = 3146000
MCMC iteration = 3147000
MCMC iteration = 3148000
MCMC iteration = 3149000
MCMC iteration = 3150000
MCMC iteration = 3151000
MCMC iteration = 3152000
MCMC iteration = 3153000
MCMC iteration = 3154000
MCMC iteration = 3155000
MCMC iteration = 3156000
MCMC iteration = 3157000
MCMC iteration = 3158000
MCMC iteration = 3159000
MCMC iteration = 3160000
MCMC iteration = 3161000
MCMC iteration = 3162000
MCMC iteration = 3163000
MCMC iteration = 3164000
MCMC iteration = 3165000
MCMC iteration = 3166000
MCMC iteration = 3167000
MCMC iteration = 3168000
MCMC iteration = 3169000
MCMC iteration = 3170000
MCMC iteration = 3171000
MCMC iteration = 3172000
MCMC iteration = 3173000
MCMC iteration = 3174000
MCMC iteration = 3175000
MCMC iteration = 3176000
MCMC iteration = 3177000
MCMC iteration = 3178000
MCMC iteration = 3179000
MCMC iteration = 3180000
MCMC iteration = 3181000
MCMC iteration = 3182000
MCMC iteration = 3183000
MCMC iteration = 3184000
MCMC iteration = 3185000
MCMC iteration = 3186000
MCMC iteration = 3187000
MCMC iteration = 3188000
MCMC iteration = 3189000
MCMC iteration = 3190000
MCMC iteration = 3191000
MCMC iteration = 3192000
MCMC iteration = 3193000
MCMC iteration = 3194000
MCMC iteration = 3195000
MCMC iteration = 3196000
MCMC iteration = 3197000
MCMC iteration = 3198000
MCMC iteration = 3199000
MCMC iteration = 3200000
MCMC iteration = 3201000
MCMC iteration = 3202000
MCMC iteration = 3203000
MCMC iteration = 3204000
MCMC iteration = 3205000
MCMC iteration = 3206000
MCMC iteration = 3207000
MCMC iteration = 3208000
MCMC iteration = 3209000
MCMC iteration = 3210000
MCMC iteration = 3211000
MCMC iteration = 3212000
MCMC iteration = 3213000
MCMC iteration = 3214000
MCMC iteration = 3215000
MCMC iteration = 3216000
MCMC iteration = 3217000
MCMC iteration = 3218000
MCMC iteration = 3219000
MCMC iteration = 3220000
MCMC iteration = 3221000
MCMC iteration = 3222000
MCMC iteration = 3223000
MCMC iteration = 3224000
MCMC iteration = 3225000
MCMC iteration = 3226000
MCMC iteration = 3227000
MCMC iteration = 3228000
MCMC iteration = 3229000
MCMC iteration = 3230000
MCMC iteration = 3231000
MCMC iteration = 3232000
MCMC iteration = 3233000
MCMC iteration = 3234000
MCMC iteration = 3235000
MCMC iteration = 3236000
MCMC iteration = 3237000
MCMC iteration = 3238000
MCMC iteration = 3239000
MCMC iteration = 3240000
MCMC iteration = 3241000
MCMC iteration = 3242000
MCMC iteration = 3243000
MCMC iteration = 3244000
MCMC iteration = 3245000
MCMC iteration = 3246000
MCMC iteration = 3247000
MCMC iteration = 3248000
MCMC iteration = 3249000
MCMC iteration = 3250000
MCMC iteration = 3251000
MCMC iteration = 3252000
MCMC iteration = 3253000
MCMC iteration = 3254000
MCMC iteration = 3255000
MCMC iteration = 3256000
MCMC iteration = 3257000
MCMC iteration = 3258000
MCMC iteration = 3259000
MCMC iteration = 3260000
MCMC iteration = 3261000
MCMC iteration = 3262000
MCMC iteration = 3263000
MCMC iteration = 3264000
MCMC iteration = 3265000
MCMC iteration = 3266000
MCMC iteration = 3267000
MCMC iteration = 3268000
MCMC iteration = 3269000
MCMC iteration = 3270000
MCMC iteration = 3271000
MCMC iteration = 3272000
MCMC iteration = 3273000
MCMC iteration = 3274000
MCMC iteration = 3275000
MCMC iteration = 3276000
MCMC iteration = 3277000
MCMC iteration = 3278000
MCMC iteration = 3279000
MCMC iteration = 3280000
MCMC iteration = 3281000
MCMC iteration = 3282000
MCMC iteration = 3283000
MCMC iteration = 3284000
MCMC iteration = 3285000
MCMC iteration = 3286000
MCMC iteration = 3287000
MCMC iteration = 3288000
MCMC iteration = 3289000
MCMC iteration = 3290000
MCMC iteration = 3291000
MCMC iteration = 3292000
MCMC iteration = 3293000
MCMC iteration = 3294000
MCMC iteration = 3295000
MCMC iteration = 3296000
MCMC iteration = 3297000
MCMC iteration = 3298000
MCMC iteration = 3299000
MCMC iteration = 3300000
MCMC iteration = 3301000
MCMC iteration = 3302000
MCMC iteration = 3303000
MCMC iteration = 3304000
MCMC iteration = 3305000
MCMC iteration = 3306000
MCMC iteration = 3307000
MCMC iteration = 3308000
MCMC iteration = 3309000
MCMC iteration = 3310000
MCMC iteration = 3311000
MCMC iteration = 3312000
MCMC iteration = 3313000
MCMC iteration = 3314000
MCMC iteration = 3315000
MCMC iteration = 3316000
MCMC iteration = 3317000
MCMC iteration = 3318000
MCMC iteration = 3319000
MCMC iteration = 3320000
MCMC iteration = 3321000
MCMC iteration = 3322000
MCMC iteration = 3323000
MCMC iteration = 3324000
MCMC iteration = 3325000
MCMC iteration = 3326000
MCMC iteration = 3327000
MCMC iteration = 3328000
MCMC iteration = 3329000
MCMC iteration = 3330000
MCMC iteration = 3331000
MCMC iteration = 3332000
MCMC iteration = 3333000
MCMC iteration = 3334000
MCMC iteration = 3335000
MCMC iteration = 3336000
MCMC iteration = 3337000
MCMC iteration = 3338000
MCMC iteration = 3339000
MCMC iteration = 3340000
MCMC iteration = 3341000
MCMC iteration = 3342000
MCMC iteration = 3343000
MCMC iteration = 3344000
MCMC iteration = 3345000
MCMC iteration = 3346000
MCMC iteration = 3347000
MCMC iteration = 3348000
MCMC iteration = 3349000
MCMC iteration = 3350000
MCMC iteration = 3351000
MCMC iteration = 3352000
MCMC iteration = 3353000
MCMC iteration = 3354000
MCMC iteration = 3355000
MCMC iteration = 3356000
MCMC iteration = 3357000
MCMC iteration = 3358000
MCMC iteration = 3359000
MCMC iteration = 3360000
MCMC iteration = 3361000
MCMC iteration = 3362000
MCMC iteration = 3363000
MCMC iteration = 3364000
MCMC iteration = 3365000
MCMC iteration = 3366000
MCMC iteration = 3367000
MCMC iteration = 3368000
MCMC iteration = 3369000
MCMC iteration = 3370000
MCMC iteration = 3371000
MCMC iteration = 3372000
MCMC iteration = 3373000
MCMC iteration = 3374000
MCMC iteration = 3375000
MCMC iteration = 3376000
MCMC iteration = 3377000
MCMC iteration = 3378000
MCMC iteration = 3379000
MCMC iteration = 3380000
MCMC iteration = 3381000
MCMC iteration = 3382000
MCMC iteration = 3383000
MCMC iteration = 3384000
MCMC iteration = 3385000
MCMC iteration = 3386000
MCMC iteration = 3387000
MCMC iteration = 3388000
MCMC iteration = 3389000
MCMC iteration = 3390000
MCMC iteration = 3391000
MCMC iteration = 3392000
MCMC iteration = 3393000
MCMC iteration = 3394000
MCMC iteration = 3395000
MCMC iteration = 3396000
MCMC iteration = 3397000
MCMC iteration = 3398000
MCMC iteration = 3399000
MCMC iteration = 3400000
MCMC iteration = 3401000
MCMC iteration = 3402000
MCMC iteration = 3403000
MCMC iteration = 3404000
MCMC iteration = 3405000
MCMC iteration = 3406000
MCMC iteration = 3407000
MCMC iteration = 3408000
MCMC iteration = 3409000
MCMC iteration = 3410000
MCMC iteration = 3411000
MCMC iteration = 3412000
MCMC iteration = 3413000
MCMC iteration = 3414000
MCMC iteration = 3415000
MCMC iteration = 3416000
MCMC iteration = 3417000
MCMC iteration = 3418000
MCMC iteration = 3419000
MCMC iteration = 3420000
MCMC iteration = 3421000
MCMC iteration = 3422000
MCMC iteration = 3423000
MCMC iteration = 3424000
MCMC iteration = 3425000
MCMC iteration = 3426000
MCMC iteration = 3427000
MCMC iteration = 3428000
MCMC iteration = 3429000
MCMC iteration = 3430000
MCMC iteration = 3431000
MCMC iteration = 3432000
MCMC iteration = 3433000
MCMC iteration = 3434000
MCMC iteration = 3435000
MCMC iteration = 3436000
MCMC iteration = 3437000
MCMC iteration = 3438000
MCMC iteration = 3439000
MCMC iteration = 3440000
MCMC iteration = 3441000
MCMC iteration = 3442000
MCMC iteration = 3443000
MCMC iteration = 3444000
MCMC iteration = 3445000
MCMC iteration = 3446000
MCMC iteration = 3447000
MCMC iteration = 3448000
MCMC iteration = 3449000
MCMC iteration = 3450000
MCMC iteration = 3451000
MCMC iteration = 3452000
MCMC iteration = 3453000
MCMC iteration = 3454000
MCMC iteration = 3455000
MCMC iteration = 3456000
MCMC iteration = 3457000
MCMC iteration = 3458000
MCMC iteration = 3459000
MCMC iteration = 3460000
MCMC iteration = 3461000
MCMC iteration = 3462000
MCMC iteration = 3463000
MCMC iteration = 3464000
MCMC iteration = 3465000
MCMC iteration = 3466000
MCMC iteration = 3467000
MCMC iteration = 3468000
MCMC iteration = 3469000
MCMC iteration = 3470000
MCMC iteration = 3471000
MCMC iteration = 3472000
MCMC iteration = 3473000
MCMC iteration = 3474000
MCMC iteration = 3475000
MCMC iteration = 3476000
MCMC iteration = 3477000
MCMC iteration = 3478000
MCMC iteration = 3479000
MCMC iteration = 3480000
MCMC iteration = 3481000
MCMC iteration = 3482000
MCMC iteration = 3483000
MCMC iteration = 3484000
MCMC iteration = 3485000
MCMC iteration = 3486000
MCMC iteration = 3487000
MCMC iteration = 3488000
MCMC iteration = 3489000
MCMC iteration = 3490000
MCMC iteration = 3491000
MCMC iteration = 3492000
MCMC iteration = 3493000
MCMC iteration = 3494000
MCMC iteration = 3495000
MCMC iteration = 3496000
MCMC iteration = 3497000
MCMC iteration = 3498000
MCMC iteration = 3499000
MCMC iteration = 3500000
MCMC iteration = 3501000
MCMC iteration = 3502000
MCMC iteration = 3503000
MCMC iteration = 3504000
MCMC iteration = 3505000
MCMC iteration = 3506000
MCMC iteration = 3507000
MCMC iteration = 3508000
MCMC iteration = 3509000
MCMC iteration = 3510000
MCMC iteration = 3511000
MCMC iteration = 3512000
MCMC iteration = 3513000
MCMC iteration = 3514000
MCMC iteration = 3515000
MCMC iteration = 3516000
MCMC iteration = 3517000
MCMC iteration = 3518000
MCMC iteration = 3519000
MCMC iteration = 3520000
MCMC iteration = 3521000
MCMC iteration = 3522000
MCMC iteration = 3523000
MCMC iteration = 3524000
MCMC iteration = 3525000
MCMC iteration = 3526000
MCMC iteration = 3527000
MCMC iteration = 3528000
MCMC iteration = 3529000
MCMC iteration = 3530000
MCMC iteration = 3531000
MCMC iteration = 3532000
MCMC iteration = 3533000
MCMC iteration = 3534000
MCMC iteration = 3535000
MCMC iteration = 3536000
MCMC iteration = 3537000
MCMC iteration = 3538000
MCMC iteration = 3539000
MCMC iteration = 3540000
MCMC iteration = 3541000
MCMC iteration = 3542000
MCMC iteration = 3543000
MCMC iteration = 3544000
MCMC iteration = 3545000
MCMC iteration = 3546000
MCMC iteration = 3547000
MCMC iteration = 3548000
MCMC iteration = 3549000
MCMC iteration = 3550000
MCMC iteration = 3551000
MCMC iteration = 3552000
MCMC iteration = 3553000
MCMC iteration = 3554000
MCMC iteration = 3555000
MCMC iteration = 3556000
MCMC iteration = 3557000
MCMC iteration = 3558000
MCMC iteration = 3559000
MCMC iteration = 3560000
MCMC iteration = 3561000
MCMC iteration = 3562000
MCMC iteration = 3563000
MCMC iteration = 3564000
MCMC iteration = 3565000
MCMC iteration = 3566000
MCMC iteration = 3567000
MCMC iteration = 3568000
MCMC iteration = 3569000
MCMC iteration = 3570000
MCMC iteration = 3571000
MCMC iteration = 3572000
MCMC iteration = 3573000
MCMC iteration = 3574000
MCMC iteration = 3575000
MCMC iteration = 3576000
MCMC iteration = 3577000
MCMC iteration = 3578000
MCMC iteration = 3579000
MCMC iteration = 3580000
MCMC iteration = 3581000
MCMC iteration = 3582000
MCMC iteration = 3583000
MCMC iteration = 3584000
MCMC iteration = 3585000
MCMC iteration = 3586000
MCMC iteration = 3587000
MCMC iteration = 3588000
MCMC iteration = 3589000
MCMC iteration = 3590000
MCMC iteration = 3591000
MCMC iteration = 3592000
MCMC iteration = 3593000
MCMC iteration = 3594000
MCMC iteration = 3595000
MCMC iteration = 3596000
MCMC iteration = 3597000
MCMC iteration = 3598000
MCMC iteration = 3599000
MCMC iteration = 3600000
MCMC iteration = 3601000
MCMC iteration = 3602000
MCMC iteration = 3603000
MCMC iteration = 3604000
MCMC iteration = 3605000
MCMC iteration = 3606000
MCMC iteration = 3607000
MCMC iteration = 3608000
MCMC iteration = 3609000
MCMC iteration = 3610000
MCMC iteration = 3611000
MCMC iteration = 3612000
MCMC iteration = 3613000
MCMC iteration = 3614000
MCMC iteration = 3615000
MCMC iteration = 3616000
MCMC iteration = 3617000
MCMC iteration = 3618000
MCMC iteration = 3619000
MCMC iteration = 3620000
MCMC iteration = 3621000
MCMC iteration = 3622000
MCMC iteration = 3623000
MCMC iteration = 3624000
MCMC iteration = 3625000
MCMC iteration = 3626000
MCMC iteration = 3627000
MCMC iteration = 3628000
MCMC iteration = 3629000
MCMC iteration = 3630000
MCMC iteration = 3631000
MCMC iteration = 3632000
MCMC iteration = 3633000
MCMC iteration = 3634000
MCMC iteration = 3635000
MCMC iteration = 3636000
MCMC iteration = 3637000
MCMC iteration = 3638000
MCMC iteration = 3639000
MCMC iteration = 3640000
MCMC iteration = 3641000
MCMC iteration = 3642000
MCMC iteration = 3643000
MCMC iteration = 3644000
MCMC iteration = 3645000
MCMC iteration = 3646000
MCMC iteration = 3647000
MCMC iteration = 3648000
MCMC iteration = 3649000
MCMC iteration = 3650000
MCMC iteration = 3651000
MCMC iteration = 3652000
MCMC iteration = 3653000
MCMC iteration = 3654000
MCMC iteration = 3655000
MCMC iteration = 3656000
MCMC iteration = 3657000
MCMC iteration = 3658000
MCMC iteration = 3659000
MCMC iteration = 3660000
MCMC iteration = 3661000
MCMC iteration = 3662000
MCMC iteration = 3663000
MCMC iteration = 3664000
MCMC iteration = 3665000
MCMC iteration = 3666000
MCMC iteration = 3667000
MCMC iteration = 3668000
MCMC iteration = 3669000
MCMC iteration = 3670000
MCMC iteration = 3671000
MCMC iteration = 3672000
MCMC iteration = 3673000
MCMC iteration = 3674000
MCMC iteration = 3675000
MCMC iteration = 3676000
MCMC iteration = 3677000
MCMC iteration = 3678000
MCMC iteration = 3679000
MCMC iteration = 3680000
MCMC iteration = 3681000
MCMC iteration = 3682000
MCMC iteration = 3683000
MCMC iteration = 3684000
MCMC iteration = 3685000
MCMC iteration = 3686000
MCMC iteration = 3687000
MCMC iteration = 3688000
MCMC iteration = 3689000
MCMC iteration = 3690000
MCMC iteration = 3691000
MCMC iteration = 3692000
MCMC iteration = 3693000
MCMC iteration = 3694000
MCMC iteration = 3695000
MCMC iteration = 3696000
MCMC iteration = 3697000
MCMC iteration = 3698000
MCMC iteration = 3699000
MCMC iteration = 3700000
MCMC iteration = 3701000
MCMC iteration = 3702000
MCMC iteration = 3703000
MCMC iteration = 3704000
MCMC iteration = 3705000
MCMC iteration = 3706000
MCMC iteration = 3707000
MCMC iteration = 3708000
MCMC iteration = 3709000
MCMC iteration = 3710000
MCMC iteration = 3711000
MCMC iteration = 3712000
MCMC iteration = 3713000
MCMC iteration = 3714000
MCMC iteration = 3715000
MCMC iteration = 3716000
MCMC iteration = 3717000
MCMC iteration = 3718000
MCMC iteration = 3719000
MCMC iteration = 3720000
MCMC iteration = 3721000
MCMC iteration = 3722000
MCMC iteration = 3723000
MCMC iteration = 3724000
MCMC iteration = 3725000
MCMC iteration = 3726000
MCMC iteration = 3727000
MCMC iteration = 3728000
MCMC iteration = 3729000
MCMC iteration = 3730000
MCMC iteration = 3731000
MCMC iteration = 3732000
MCMC iteration = 3733000
MCMC iteration = 3734000
MCMC iteration = 3735000
MCMC iteration = 3736000
MCMC iteration = 3737000
MCMC iteration = 3738000
MCMC iteration = 3739000
MCMC iteration = 3740000
MCMC iteration = 3741000
MCMC iteration = 3742000
MCMC iteration = 3743000
MCMC iteration = 3744000
MCMC iteration = 3745000
MCMC iteration = 3746000
MCMC iteration = 3747000
MCMC iteration = 3748000
MCMC iteration = 3749000
MCMC iteration = 3750000
MCMC iteration = 3751000
MCMC iteration = 3752000
MCMC iteration = 3753000
MCMC iteration = 3754000
MCMC iteration = 3755000
MCMC iteration = 3756000
MCMC iteration = 3757000
MCMC iteration = 3758000
MCMC iteration = 3759000
MCMC iteration = 3760000
MCMC iteration = 3761000
MCMC iteration = 3762000
MCMC iteration = 3763000
MCMC iteration = 3764000
MCMC iteration = 3765000
MCMC iteration = 3766000
MCMC iteration = 3767000
MCMC iteration = 3768000
MCMC iteration = 3769000
MCMC iteration = 3770000
MCMC iteration = 3771000
MCMC iteration = 3772000
MCMC iteration = 3773000
MCMC iteration = 3774000
MCMC iteration = 3775000
MCMC iteration = 3776000
MCMC iteration = 3777000
MCMC iteration = 3778000
MCMC iteration = 3779000
MCMC iteration = 3780000
MCMC iteration = 3781000
MCMC iteration = 3782000
MCMC iteration = 3783000
MCMC iteration = 3784000
MCMC iteration = 3785000
MCMC iteration = 3786000
MCMC iteration = 3787000
MCMC iteration = 3788000
MCMC iteration = 3789000
MCMC iteration = 3790000
MCMC iteration = 3791000
MCMC iteration = 3792000
MCMC iteration = 3793000
MCMC iteration = 3794000
MCMC iteration = 3795000
MCMC iteration = 3796000
MCMC iteration = 3797000
MCMC iteration = 3798000
MCMC iteration = 3799000
MCMC iteration = 3800000
MCMC iteration = 3801000
MCMC iteration = 3802000
MCMC iteration = 3803000
MCMC iteration = 3804000
MCMC iteration = 3805000
MCMC iteration = 3806000
MCMC iteration = 3807000
MCMC iteration = 3808000
MCMC iteration = 3809000
MCMC iteration = 3810000
MCMC iteration = 3811000
MCMC iteration = 3812000
MCMC iteration = 3813000
MCMC iteration = 3814000
MCMC iteration = 3815000
MCMC iteration = 3816000
MCMC iteration = 3817000
MCMC iteration = 3818000
MCMC iteration = 3819000
MCMC iteration = 3820000
MCMC iteration = 3821000
MCMC iteration = 3822000
MCMC iteration = 3823000
MCMC iteration = 3824000
MCMC iteration = 3825000
MCMC iteration = 3826000
MCMC iteration = 3827000
MCMC iteration = 3828000
MCMC iteration = 3829000
MCMC iteration = 3830000
MCMC iteration = 3831000
MCMC iteration = 3832000
MCMC iteration = 3833000
MCMC iteration = 3834000
MCMC iteration = 3835000
MCMC iteration = 3836000
MCMC iteration = 3837000
MCMC iteration = 3838000
MCMC iteration = 3839000
MCMC iteration = 3840000
MCMC iteration = 3841000
MCMC iteration = 3842000
MCMC iteration = 3843000
MCMC iteration = 3844000
MCMC iteration = 3845000
MCMC iteration = 3846000
MCMC iteration = 3847000
MCMC iteration = 3848000
MCMC iteration = 3849000
MCMC iteration = 3850000
MCMC iteration = 3851000
MCMC iteration = 3852000
MCMC iteration = 3853000
MCMC iteration = 3854000
MCMC iteration = 3855000
MCMC iteration = 3856000
MCMC iteration = 3857000
MCMC iteration = 3858000
MCMC iteration = 3859000
MCMC iteration = 3860000
MCMC iteration = 3861000
MCMC iteration = 3862000
MCMC iteration = 3863000
MCMC iteration = 3864000
MCMC iteration = 3865000
MCMC iteration = 3866000
MCMC iteration = 3867000
MCMC iteration = 3868000
MCMC iteration = 3869000
MCMC iteration = 3870000
MCMC iteration = 3871000
MCMC iteration = 3872000
MCMC iteration = 3873000
MCMC iteration = 3874000
MCMC iteration = 3875000
MCMC iteration = 3876000
MCMC iteration = 3877000
MCMC iteration = 3878000
MCMC iteration = 3879000
MCMC iteration = 3880000
MCMC iteration = 3881000
MCMC iteration = 3882000
MCMC iteration = 3883000
MCMC iteration = 3884000
MCMC iteration = 3885000
MCMC iteration = 3886000
MCMC iteration = 3887000
MCMC iteration = 3888000
MCMC iteration = 3889000
MCMC iteration = 3890000
MCMC iteration = 3891000
MCMC iteration = 3892000
MCMC iteration = 3893000
MCMC iteration = 3894000
MCMC iteration = 3895000
MCMC iteration = 3896000
MCMC iteration = 3897000
MCMC iteration = 3898000
MCMC iteration = 3899000
MCMC iteration = 3900000
MCMC iteration = 3901000
MCMC iteration = 3902000
MCMC iteration = 3903000
MCMC iteration = 3904000
MCMC iteration = 3905000
MCMC iteration = 3906000
MCMC iteration = 3907000
MCMC iteration = 3908000
MCMC iteration = 3909000
MCMC iteration = 3910000
MCMC iteration = 3911000
MCMC iteration = 3912000
MCMC iteration = 3913000
MCMC iteration = 3914000
MCMC iteration = 3915000
MCMC iteration = 3916000
MCMC iteration = 3917000
MCMC iteration = 3918000
MCMC iteration = 3919000
MCMC iteration = 3920000
MCMC iteration = 3921000
MCMC iteration = 3922000
MCMC iteration = 3923000
MCMC iteration = 3924000
MCMC iteration = 3925000
MCMC iteration = 3926000
MCMC iteration = 3927000
MCMC iteration = 3928000
MCMC iteration = 3929000
MCMC iteration = 3930000
MCMC iteration = 3931000
MCMC iteration = 3932000
MCMC iteration = 3933000
MCMC iteration = 3934000
MCMC iteration = 3935000
MCMC iteration = 3936000
MCMC iteration = 3937000
MCMC iteration = 3938000
MCMC iteration = 3939000
MCMC iteration = 3940000
MCMC iteration = 3941000
MCMC iteration = 3942000
MCMC iteration = 3943000
MCMC iteration = 3944000
MCMC iteration = 3945000
MCMC iteration = 3946000
MCMC iteration = 3947000
MCMC iteration = 3948000
MCMC iteration = 3949000
MCMC iteration = 3950000
MCMC iteration = 3951000
MCMC iteration = 3952000
MCMC iteration = 3953000
MCMC iteration = 3954000
MCMC iteration = 3955000
MCMC iteration = 3956000
MCMC iteration = 3957000
MCMC iteration = 3958000
MCMC iteration = 3959000
MCMC iteration = 3960000
MCMC iteration = 3961000
MCMC iteration = 3962000
MCMC iteration = 3963000
MCMC iteration = 3964000
MCMC iteration = 3965000
MCMC iteration = 3966000
MCMC iteration = 3967000
MCMC iteration = 3968000
MCMC iteration = 3969000
MCMC iteration = 3970000
MCMC iteration = 3971000
MCMC iteration = 3972000
MCMC iteration = 3973000
MCMC iteration = 3974000
MCMC iteration = 3975000
MCMC iteration = 3976000
MCMC iteration = 3977000
MCMC iteration = 3978000
MCMC iteration = 3979000
MCMC iteration = 3980000
MCMC iteration = 3981000
MCMC iteration = 3982000
MCMC iteration = 3983000
MCMC iteration = 3984000
MCMC iteration = 3985000
MCMC iteration = 3986000
MCMC iteration = 3987000
MCMC iteration = 3988000
MCMC iteration = 3989000
MCMC iteration = 3990000
MCMC iteration = 3991000
MCMC iteration = 3992000
MCMC iteration = 3993000
MCMC iteration = 3994000
MCMC iteration = 3995000
MCMC iteration = 3996000
MCMC iteration = 3997000
MCMC iteration = 3998000
MCMC iteration = 3999000
MCMC iteration = 4000000
MCMC iteration = 4001000
MCMC iteration = 4002000
MCMC iteration = 4003000
MCMC iteration = 4004000
MCMC iteration = 4005000
MCMC iteration = 4006000
MCMC iteration = 4007000
MCMC iteration = 4008000
MCMC iteration = 4009000
MCMC iteration = 4010000
MCMC iteration = 4011000
MCMC iteration = 4012000
MCMC iteration = 4013000
MCMC iteration = 4014000
MCMC iteration = 4015000
MCMC iteration = 4016000
MCMC iteration = 4017000
MCMC iteration = 4018000
MCMC iteration = 4019000
MCMC iteration = 4020000
MCMC iteration = 4021000
MCMC iteration = 4022000
MCMC iteration = 4023000
MCMC iteration = 4024000
MCMC iteration = 4025000
MCMC iteration = 4026000
MCMC iteration = 4027000
MCMC iteration = 4028000
MCMC iteration = 4029000
MCMC iteration = 4030000
MCMC iteration = 4031000
MCMC iteration = 4032000
MCMC iteration = 4033000
MCMC iteration = 4034000
MCMC iteration = 4035000
MCMC iteration = 4036000
MCMC iteration = 4037000
MCMC iteration = 4038000
MCMC iteration = 4039000
MCMC iteration = 4040000
MCMC iteration = 4041000
MCMC iteration = 4042000
MCMC iteration = 4043000
MCMC iteration = 4044000
MCMC iteration = 4045000
MCMC iteration = 4046000
MCMC iteration = 4047000
MCMC iteration = 4048000
MCMC iteration = 4049000
MCMC iteration = 4050000
MCMC iteration = 4051000
MCMC iteration = 4052000
MCMC iteration = 4053000
MCMC iteration = 4054000
MCMC iteration = 4055000
MCMC iteration = 4056000
MCMC iteration = 4057000
MCMC iteration = 4058000
MCMC iteration = 4059000
MCMC iteration = 4060000
MCMC iteration = 4061000
MCMC iteration = 4062000
MCMC iteration = 4063000
MCMC iteration = 4064000
MCMC iteration = 4065000
MCMC iteration = 4066000
MCMC iteration = 4067000
MCMC iteration = 4068000
MCMC iteration = 4069000
MCMC iteration = 4070000
MCMC iteration = 4071000
MCMC iteration = 4072000
MCMC iteration = 4073000
MCMC iteration = 4074000
MCMC iteration = 4075000
MCMC iteration = 4076000
MCMC iteration = 4077000
MCMC iteration = 4078000
MCMC iteration = 4079000
MCMC iteration = 4080000
MCMC iteration = 4081000
MCMC iteration = 4082000
MCMC iteration = 4083000
MCMC iteration = 4084000
MCMC iteration = 4085000
MCMC iteration = 4086000
MCMC iteration = 4087000
MCMC iteration = 4088000
MCMC iteration = 4089000
MCMC iteration = 4090000
MCMC iteration = 4091000
MCMC iteration = 4092000
MCMC iteration = 4093000
MCMC iteration = 4094000
MCMC iteration = 4095000
MCMC iteration = 4096000
MCMC iteration = 4097000
MCMC iteration = 4098000
MCMC iteration = 4099000
MCMC iteration = 4100000
MCMC iteration = 4101000
MCMC iteration = 4102000
MCMC iteration = 4103000
MCMC iteration = 4104000
MCMC iteration = 4105000
MCMC iteration = 4106000
MCMC iteration = 4107000
MCMC iteration = 4108000
MCMC iteration = 4109000
MCMC iteration = 4110000
MCMC iteration = 4111000
MCMC iteration = 4112000
MCMC iteration = 4113000
MCMC iteration = 4114000
MCMC iteration = 4115000
MCMC iteration = 4116000
MCMC iteration = 4117000
MCMC iteration = 4118000
MCMC iteration = 4119000
MCMC iteration = 4120000
MCMC iteration = 4121000
MCMC iteration = 4122000
MCMC iteration = 4123000
MCMC iteration = 4124000
MCMC iteration = 4125000
MCMC iteration = 4126000
MCMC iteration = 4127000
MCMC iteration = 4128000
MCMC iteration = 4129000
MCMC iteration = 4130000
MCMC iteration = 4131000
MCMC iteration = 4132000
MCMC iteration = 4133000
MCMC iteration = 4134000
MCMC iteration = 4135000
MCMC iteration = 4136000
MCMC iteration = 4137000
MCMC iteration = 4138000
MCMC iteration = 4139000
MCMC iteration = 4140000
MCMC iteration = 4141000
MCMC iteration = 4142000
MCMC iteration = 4143000
MCMC iteration = 4144000
MCMC iteration = 4145000
MCMC iteration = 4146000
MCMC iteration = 4147000
MCMC iteration = 4148000
MCMC iteration = 4149000
MCMC iteration = 4150000
MCMC iteration = 4151000
MCMC iteration = 4152000
MCMC iteration = 4153000
MCMC iteration = 4154000
MCMC iteration = 4155000
MCMC iteration = 4156000
MCMC iteration = 4157000
MCMC iteration = 4158000
MCMC iteration = 4159000
MCMC iteration = 4160000
MCMC iteration = 4161000
MCMC iteration = 4162000
MCMC iteration = 4163000
MCMC iteration = 4164000
MCMC iteration = 4165000
MCMC iteration = 4166000
MCMC iteration = 4167000
MCMC iteration = 4168000
MCMC iteration = 4169000
MCMC iteration = 4170000
MCMC iteration = 4171000
MCMC iteration = 4172000
MCMC iteration = 4173000
MCMC iteration = 4174000
MCMC iteration = 4175000
MCMC iteration = 4176000
MCMC iteration = 4177000
MCMC iteration = 4178000
MCMC iteration = 4179000
MCMC iteration = 4180000
MCMC iteration = 4181000
MCMC iteration = 4182000
MCMC iteration = 4183000
MCMC iteration = 4184000
MCMC iteration = 4185000
MCMC iteration = 4186000
MCMC iteration = 4187000
MCMC iteration = 4188000
MCMC iteration = 4189000
MCMC iteration = 4190000
MCMC iteration = 4191000
MCMC iteration = 4192000
MCMC iteration = 4193000
MCMC iteration = 4194000
MCMC iteration = 4195000
MCMC iteration = 4196000
MCMC iteration = 4197000
MCMC iteration = 4198000
MCMC iteration = 4199000
MCMC iteration = 4200000
MCMC iteration = 4201000
MCMC iteration = 4202000
MCMC iteration = 4203000
MCMC iteration = 4204000
MCMC iteration = 4205000
MCMC iteration = 4206000
MCMC iteration = 4207000
MCMC iteration = 4208000
MCMC iteration = 4209000
MCMC iteration = 4210000
MCMC iteration = 4211000
MCMC iteration = 4212000
MCMC iteration = 4213000
MCMC iteration = 4214000
MCMC iteration = 4215000
MCMC iteration = 4216000
MCMC iteration = 4217000
MCMC iteration = 4218000
MCMC iteration = 4219000
MCMC iteration = 4220000
MCMC iteration = 4221000
MCMC iteration = 4222000
MCMC iteration = 4223000
MCMC iteration = 4224000
MCMC iteration = 4225000
MCMC iteration = 4226000
MCMC iteration = 4227000
MCMC iteration = 4228000
MCMC iteration = 4229000
MCMC iteration = 4230000
MCMC iteration = 4231000
MCMC iteration = 4232000
MCMC iteration = 4233000
MCMC iteration = 4234000
MCMC iteration = 4235000
MCMC iteration = 4236000
MCMC iteration = 4237000
MCMC iteration = 4238000
MCMC iteration = 4239000
MCMC iteration = 4240000
MCMC iteration = 4241000
MCMC iteration = 4242000
MCMC iteration = 4243000
MCMC iteration = 4244000
MCMC iteration = 4245000
MCMC iteration = 4246000
MCMC iteration = 4247000
MCMC iteration = 4248000
MCMC iteration = 4249000
MCMC iteration = 4250000
MCMC iteration = 4251000
MCMC iteration = 4252000
MCMC iteration = 4253000
MCMC iteration = 4254000
MCMC iteration = 4255000
MCMC iteration = 4256000
MCMC iteration = 4257000
MCMC iteration = 4258000
MCMC iteration = 4259000
MCMC iteration = 4260000
MCMC iteration = 4261000
MCMC iteration = 4262000
MCMC iteration = 4263000
MCMC iteration = 4264000
MCMC iteration = 4265000
MCMC iteration = 4266000
MCMC iteration = 4267000
MCMC iteration = 4268000
MCMC iteration = 4269000
MCMC iteration = 4270000
MCMC iteration = 4271000
MCMC iteration = 4272000
MCMC iteration = 4273000
MCMC iteration = 4274000
MCMC iteration = 4275000
MCMC iteration = 4276000
MCMC iteration = 4277000
MCMC iteration = 4278000
MCMC iteration = 4279000
MCMC iteration = 4280000
MCMC iteration = 4281000
MCMC iteration = 4282000
MCMC iteration = 4283000
MCMC iteration = 4284000
MCMC iteration = 4285000
MCMC iteration = 4286000
MCMC iteration = 4287000
MCMC iteration = 4288000
MCMC iteration = 4289000
MCMC iteration = 4290000
MCMC iteration = 4291000
MCMC iteration = 4292000
MCMC iteration = 4293000
MCMC iteration = 4294000
MCMC iteration = 4295000
MCMC iteration = 4296000
MCMC iteration = 4297000
MCMC iteration = 4298000
MCMC iteration = 4299000
MCMC iteration = 4300000
MCMC iteration = 4301000
MCMC iteration = 4302000
MCMC iteration = 4303000
MCMC iteration = 4304000
MCMC iteration = 4305000
MCMC iteration = 4306000
MCMC iteration = 4307000
MCMC iteration = 4308000
MCMC iteration = 4309000
MCMC iteration = 4310000
MCMC iteration = 4311000
MCMC iteration = 4312000
MCMC iteration = 4313000
MCMC iteration = 4314000
MCMC iteration = 4315000
MCMC iteration = 4316000
MCMC iteration = 4317000
MCMC iteration = 4318000
MCMC iteration = 4319000
MCMC iteration = 4320000
MCMC iteration = 4321000
MCMC iteration = 4322000
MCMC iteration = 4323000
MCMC iteration = 4324000
MCMC iteration = 4325000
MCMC iteration = 4326000
MCMC iteration = 4327000
MCMC iteration = 4328000
MCMC iteration = 4329000
MCMC iteration = 4330000
MCMC iteration = 4331000
MCMC iteration = 4332000
MCMC iteration = 4333000
MCMC iteration = 4334000
MCMC iteration = 4335000
MCMC iteration = 4336000
MCMC iteration = 4337000
MCMC iteration = 4338000
MCMC iteration = 4339000
MCMC iteration = 4340000
MCMC iteration = 4341000
MCMC iteration = 4342000
MCMC iteration = 4343000
MCMC iteration = 4344000
MCMC iteration = 4345000
MCMC iteration = 4346000
MCMC iteration = 4347000
MCMC iteration = 4348000
MCMC iteration = 4349000
MCMC iteration = 4350000
MCMC iteration = 4351000
MCMC iteration = 4352000
MCMC iteration = 4353000
MCMC iteration = 4354000
MCMC iteration = 4355000
MCMC iteration = 4356000
MCMC iteration = 4357000
MCMC iteration = 4358000
MCMC iteration = 4359000
MCMC iteration = 4360000
MCMC iteration = 4361000
MCMC iteration = 4362000
MCMC iteration = 4363000
MCMC iteration = 4364000
MCMC iteration = 4365000
MCMC iteration = 4366000
MCMC iteration = 4367000
MCMC iteration = 4368000
MCMC iteration = 4369000
MCMC iteration = 4370000
MCMC iteration = 4371000
MCMC iteration = 4372000
MCMC iteration = 4373000
MCMC iteration = 4374000
MCMC iteration = 4375000
MCMC iteration = 4376000
MCMC iteration = 4377000
MCMC iteration = 4378000
MCMC iteration = 4379000
MCMC iteration = 4380000
MCMC iteration = 4381000
MCMC iteration = 4382000
MCMC iteration = 4383000
MCMC iteration = 4384000
MCMC iteration = 4385000
MCMC iteration = 4386000
MCMC iteration = 4387000
MCMC iteration = 4388000
MCMC iteration = 4389000
MCMC iteration = 4390000
MCMC iteration = 4391000
MCMC iteration = 4392000
MCMC iteration = 4393000
MCMC iteration = 4394000
MCMC iteration = 4395000
MCMC iteration = 4396000
MCMC iteration = 4397000
MCMC iteration = 4398000
MCMC iteration = 4399000
MCMC iteration = 4400000
MCMC iteration = 4401000
MCMC iteration = 4402000
MCMC iteration = 4403000
MCMC iteration = 4404000
MCMC iteration = 4405000
MCMC iteration = 4406000
MCMC iteration = 4407000
MCMC iteration = 4408000
MCMC iteration = 4409000
MCMC iteration = 4410000
MCMC iteration = 4411000
MCMC iteration = 4412000
MCMC iteration = 4413000
MCMC iteration = 4414000
MCMC iteration = 4415000
MCMC iteration = 4416000
MCMC iteration = 4417000
MCMC iteration = 4418000
MCMC iteration = 4419000
MCMC iteration = 4420000
MCMC iteration = 4421000
MCMC iteration = 4422000
MCMC iteration = 4423000
MCMC iteration = 4424000
MCMC iteration = 4425000
MCMC iteration = 4426000
MCMC iteration = 4427000
MCMC iteration = 4428000
MCMC iteration = 4429000
MCMC iteration = 4430000
MCMC iteration = 4431000
MCMC iteration = 4432000
MCMC iteration = 4433000
MCMC iteration = 4434000
MCMC iteration = 4435000
MCMC iteration = 4436000
MCMC iteration = 4437000
MCMC iteration = 4438000
MCMC iteration = 4439000
MCMC iteration = 4440000
MCMC iteration = 4441000
MCMC iteration = 4442000
MCMC iteration = 4443000
MCMC iteration = 4444000
MCMC iteration = 4445000
MCMC iteration = 4446000
MCMC iteration = 4447000
MCMC iteration = 4448000
MCMC iteration = 4449000
MCMC iteration = 4450000
MCMC iteration = 4451000
MCMC iteration = 4452000
MCMC iteration = 4453000
MCMC iteration = 4454000
MCMC iteration = 4455000
MCMC iteration = 4456000
MCMC iteration = 4457000
MCMC iteration = 4458000
MCMC iteration = 4459000
MCMC iteration = 4460000
MCMC iteration = 4461000
MCMC iteration = 4462000
MCMC iteration = 4463000
MCMC iteration = 4464000
MCMC iteration = 4465000
MCMC iteration = 4466000
MCMC iteration = 4467000
MCMC iteration = 4468000
MCMC iteration = 4469000
MCMC iteration = 4470000
MCMC iteration = 4471000
MCMC iteration = 4472000
MCMC iteration = 4473000
MCMC iteration = 4474000
MCMC iteration = 4475000
MCMC iteration = 4476000
MCMC iteration = 4477000
MCMC iteration = 4478000
MCMC iteration = 4479000
MCMC iteration = 4480000
MCMC iteration = 4481000
MCMC iteration = 4482000
MCMC iteration = 4483000
MCMC iteration = 4484000
MCMC iteration = 4485000
MCMC iteration = 4486000
MCMC iteration = 4487000
MCMC iteration = 4488000
MCMC iteration = 4489000
MCMC iteration = 4490000
MCMC iteration = 4491000
MCMC iteration = 4492000
MCMC iteration = 4493000
MCMC iteration = 4494000
MCMC iteration = 4495000
MCMC iteration = 4496000
MCMC iteration = 4497000
MCMC iteration = 4498000
MCMC iteration = 4499000
MCMC iteration = 4500000
MCMC iteration = 4501000
MCMC iteration = 4502000
MCMC iteration = 4503000
MCMC iteration = 4504000
MCMC iteration = 4505000
MCMC iteration = 4506000
MCMC iteration = 4507000
MCMC iteration = 4508000
MCMC iteration = 4509000
MCMC iteration = 4510000
MCMC iteration = 4511000
MCMC iteration = 4512000
MCMC iteration = 4513000
MCMC iteration = 4514000
MCMC iteration = 4515000
MCMC iteration = 4516000
MCMC iteration = 4517000
MCMC iteration = 4518000
MCMC iteration = 4519000
MCMC iteration = 4520000
MCMC iteration = 4521000
MCMC iteration = 4522000
MCMC iteration = 4523000
MCMC iteration = 4524000
MCMC iteration = 4525000
MCMC iteration = 4526000
MCMC iteration = 4527000
MCMC iteration = 4528000
MCMC iteration = 4529000
MCMC iteration = 4530000
MCMC iteration = 4531000
MCMC iteration = 4532000
MCMC iteration = 4533000
MCMC iteration = 4534000
MCMC iteration = 4535000
MCMC iteration = 4536000
MCMC iteration = 4537000
MCMC iteration = 4538000
MCMC iteration = 4539000
MCMC iteration = 4540000
MCMC iteration = 4541000
MCMC iteration = 4542000
MCMC iteration = 4543000
MCMC iteration = 4544000
MCMC iteration = 4545000
MCMC iteration = 4546000
MCMC iteration = 4547000
MCMC iteration = 4548000
MCMC iteration = 4549000
MCMC iteration = 4550000
MCMC iteration = 4551000
MCMC iteration = 4552000
MCMC iteration = 4553000
MCMC iteration = 4554000
MCMC iteration = 4555000
MCMC iteration = 4556000
MCMC iteration = 4557000
MCMC iteration = 4558000
MCMC iteration = 4559000
MCMC iteration = 4560000
MCMC iteration = 4561000
MCMC iteration = 4562000
MCMC iteration = 4563000
MCMC iteration = 4564000
MCMC iteration = 4565000
MCMC iteration = 4566000
MCMC iteration = 4567000
MCMC iteration = 4568000
MCMC iteration = 4569000
MCMC iteration = 4570000
MCMC iteration = 4571000
MCMC iteration = 4572000
MCMC iteration = 4573000
MCMC iteration = 4574000
MCMC iteration = 4575000
MCMC iteration = 4576000
MCMC iteration = 4577000
MCMC iteration = 4578000
MCMC iteration = 4579000
MCMC iteration = 4580000
MCMC iteration = 4581000
MCMC iteration = 4582000
MCMC iteration = 4583000
MCMC iteration = 4584000
MCMC iteration = 4585000
MCMC iteration = 4586000
MCMC iteration = 4587000
MCMC iteration = 4588000
MCMC iteration = 4589000
MCMC iteration = 4590000
MCMC iteration = 4591000
MCMC iteration = 4592000
MCMC iteration = 4593000
MCMC iteration = 4594000
MCMC iteration = 4595000
MCMC iteration = 4596000
MCMC iteration = 4597000
MCMC iteration = 4598000
MCMC iteration = 4599000
MCMC iteration = 4600000
MCMC iteration = 4601000
MCMC iteration = 4602000
MCMC iteration = 4603000
MCMC iteration = 4604000
MCMC iteration = 4605000
MCMC iteration = 4606000
MCMC iteration = 4607000
MCMC iteration = 4608000
MCMC iteration = 4609000
MCMC iteration = 4610000
MCMC iteration = 4611000
MCMC iteration = 4612000
MCMC iteration = 4613000
MCMC iteration = 4614000
MCMC iteration = 4615000
MCMC iteration = 4616000
MCMC iteration = 4617000
MCMC iteration = 4618000
MCMC iteration = 4619000
MCMC iteration = 4620000
MCMC iteration = 4621000
MCMC iteration = 4622000
MCMC iteration = 4623000
MCMC iteration = 4624000
MCMC iteration = 4625000
MCMC iteration = 4626000
MCMC iteration = 4627000
MCMC iteration = 4628000
MCMC iteration = 4629000
MCMC iteration = 4630000
MCMC iteration = 4631000
MCMC iteration = 4632000
MCMC iteration = 4633000
MCMC iteration = 4634000
MCMC iteration = 4635000
MCMC iteration = 4636000
MCMC iteration = 4637000
MCMC iteration = 4638000
MCMC iteration = 4639000
MCMC iteration = 4640000
MCMC iteration = 4641000
MCMC iteration = 4642000
MCMC iteration = 4643000
MCMC iteration = 4644000
MCMC iteration = 4645000
MCMC iteration = 4646000
MCMC iteration = 4647000
MCMC iteration = 4648000
MCMC iteration = 4649000
MCMC iteration = 4650000
MCMC iteration = 4651000
MCMC iteration = 4652000
MCMC iteration = 4653000
MCMC iteration = 4654000
MCMC iteration = 4655000
MCMC iteration = 4656000
MCMC iteration = 4657000
MCMC iteration = 4658000
MCMC iteration = 4659000
MCMC iteration = 4660000
MCMC iteration = 4661000
MCMC iteration = 4662000
MCMC iteration = 4663000
MCMC iteration = 4664000
MCMC iteration = 4665000
MCMC iteration = 4666000
MCMC iteration = 4667000
MCMC iteration = 4668000
MCMC iteration = 4669000
MCMC iteration = 4670000
MCMC iteration = 4671000
MCMC iteration = 4672000
MCMC iteration = 4673000
MCMC iteration = 4674000
MCMC iteration = 4675000
MCMC iteration = 4676000
MCMC iteration = 4677000
MCMC iteration = 4678000
MCMC iteration = 4679000
MCMC iteration = 4680000
MCMC iteration = 4681000
MCMC iteration = 4682000
MCMC iteration = 4683000
MCMC iteration = 4684000
MCMC iteration = 4685000
MCMC iteration = 4686000
MCMC iteration = 4687000
MCMC iteration = 4688000
MCMC iteration = 4689000
MCMC iteration = 4690000
MCMC iteration = 4691000
MCMC iteration = 4692000
MCMC iteration = 4693000
MCMC iteration = 4694000
MCMC iteration = 4695000
MCMC iteration = 4696000
MCMC iteration = 4697000
MCMC iteration = 4698000
MCMC iteration = 4699000
MCMC iteration = 4700000
MCMC iteration = 4701000
MCMC iteration = 4702000
MCMC iteration = 4703000
MCMC iteration = 4704000
MCMC iteration = 4705000
MCMC iteration = 4706000
MCMC iteration = 4707000
MCMC iteration = 4708000
MCMC iteration = 4709000
MCMC iteration = 4710000
MCMC iteration = 4711000
MCMC iteration = 4712000
MCMC iteration = 4713000
MCMC iteration = 4714000
MCMC iteration = 4715000
MCMC iteration = 4716000
MCMC iteration = 4717000
MCMC iteration = 4718000
MCMC iteration = 4719000
MCMC iteration = 4720000
MCMC iteration = 4721000
MCMC iteration = 4722000
MCMC iteration = 4723000
MCMC iteration = 4724000
MCMC iteration = 4725000
MCMC iteration = 4726000
MCMC iteration = 4727000
MCMC iteration = 4728000
MCMC iteration = 4729000
MCMC iteration = 4730000
MCMC iteration = 4731000
MCMC iteration = 4732000
MCMC iteration = 4733000
MCMC iteration = 4734000
MCMC iteration = 4735000
MCMC iteration = 4736000
MCMC iteration = 4737000
MCMC iteration = 4738000
MCMC iteration = 4739000
MCMC iteration = 4740000
MCMC iteration = 4741000
MCMC iteration = 4742000
MCMC iteration = 4743000
MCMC iteration = 4744000
MCMC iteration = 4745000
MCMC iteration = 4746000
MCMC iteration = 4747000
MCMC iteration = 4748000
MCMC iteration = 4749000
MCMC iteration = 4750000
MCMC iteration = 4751000
MCMC iteration = 4752000
MCMC iteration = 4753000
MCMC iteration = 4754000
MCMC iteration = 4755000
MCMC iteration = 4756000
MCMC iteration = 4757000
MCMC iteration = 4758000
MCMC iteration = 4759000
MCMC iteration = 4760000
MCMC iteration = 4761000
MCMC iteration = 4762000
MCMC iteration = 4763000
MCMC iteration = 4764000
MCMC iteration = 4765000
MCMC iteration = 4766000
MCMC iteration = 4767000
MCMC iteration = 4768000
MCMC iteration = 4769000
MCMC iteration = 4770000
MCMC iteration = 4771000
MCMC iteration = 4772000
MCMC iteration = 4773000
MCMC iteration = 4774000
MCMC iteration = 4775000
MCMC iteration = 4776000
MCMC iteration = 4777000
MCMC iteration = 4778000
MCMC iteration = 4779000
MCMC iteration = 4780000
MCMC iteration = 4781000
MCMC iteration = 4782000
MCMC iteration = 4783000
MCMC iteration = 4784000
MCMC iteration = 4785000
MCMC iteration = 4786000
MCMC iteration = 4787000
MCMC iteration = 4788000
MCMC iteration = 4789000
MCMC iteration = 4790000
MCMC iteration = 4791000
MCMC iteration = 4792000
MCMC iteration = 4793000
MCMC iteration = 4794000
MCMC iteration = 4795000
MCMC iteration = 4796000
MCMC iteration = 4797000
MCMC iteration = 4798000
MCMC iteration = 4799000
MCMC iteration = 4800000
MCMC iteration = 4801000
MCMC iteration = 4802000
MCMC iteration = 4803000
MCMC iteration = 4804000
MCMC iteration = 4805000
MCMC iteration = 4806000
MCMC iteration = 4807000
MCMC iteration = 4808000
MCMC iteration = 4809000
MCMC iteration = 4810000
MCMC iteration = 4811000
MCMC iteration = 4812000
MCMC iteration = 4813000
MCMC iteration = 4814000
MCMC iteration = 4815000
MCMC iteration = 4816000
MCMC iteration = 4817000
MCMC iteration = 4818000
MCMC iteration = 4819000
MCMC iteration = 4820000
MCMC iteration = 4821000
MCMC iteration = 4822000
MCMC iteration = 4823000
MCMC iteration = 4824000
MCMC iteration = 4825000
MCMC iteration = 4826000
MCMC iteration = 4827000
MCMC iteration = 4828000
MCMC iteration = 4829000
MCMC iteration = 4830000
MCMC iteration = 4831000
MCMC iteration = 4832000
MCMC iteration = 4833000
MCMC iteration = 4834000
MCMC iteration = 4835000
MCMC iteration = 4836000
MCMC iteration = 4837000
MCMC iteration = 4838000
MCMC iteration = 4839000
MCMC iteration = 4840000
MCMC iteration = 4841000
MCMC iteration = 4842000
MCMC iteration = 4843000
MCMC iteration = 4844000
MCMC iteration = 4845000
MCMC iteration = 4846000
MCMC iteration = 4847000
MCMC iteration = 4848000
MCMC iteration = 4849000
MCMC iteration = 4850000
MCMC iteration = 4851000
MCMC iteration = 4852000
MCMC iteration = 4853000
MCMC iteration = 4854000
MCMC iteration = 4855000
MCMC iteration = 4856000
MCMC iteration = 4857000
MCMC iteration = 4858000
MCMC iteration = 4859000
MCMC iteration = 4860000
MCMC iteration = 4861000
MCMC iteration = 4862000
MCMC iteration = 4863000
MCMC iteration = 4864000
MCMC iteration = 4865000
MCMC iteration = 4866000
MCMC iteration = 4867000
MCMC iteration = 4868000
MCMC iteration = 4869000
MCMC iteration = 4870000
MCMC iteration = 4871000
MCMC iteration = 4872000
MCMC iteration = 4873000
MCMC iteration = 4874000
MCMC iteration = 4875000
MCMC iteration = 4876000
MCMC iteration = 4877000
MCMC iteration = 4878000
MCMC iteration = 4879000
MCMC iteration = 4880000
MCMC iteration = 4881000
MCMC iteration = 4882000
MCMC iteration = 4883000
MCMC iteration = 4884000
MCMC iteration = 4885000
MCMC iteration = 4886000
MCMC iteration = 4887000
MCMC iteration = 4888000
MCMC iteration = 4889000
MCMC iteration = 4890000
MCMC iteration = 4891000
MCMC iteration = 4892000
MCMC iteration = 4893000
MCMC iteration = 4894000
MCMC iteration = 4895000
MCMC iteration = 4896000
MCMC iteration = 4897000
MCMC iteration = 4898000
MCMC iteration = 4899000
MCMC iteration = 4900000
MCMC iteration = 4901000
MCMC iteration = 4902000
MCMC iteration = 4903000
MCMC iteration = 4904000
MCMC iteration = 4905000
MCMC iteration = 4906000
MCMC iteration = 4907000
MCMC iteration = 4908000
MCMC iteration = 4909000
MCMC iteration = 4910000
MCMC iteration = 4911000
MCMC iteration = 4912000
MCMC iteration = 4913000
MCMC iteration = 4914000
MCMC iteration = 4915000
MCMC iteration = 4916000
MCMC iteration = 4917000
MCMC iteration = 4918000
MCMC iteration = 4919000
MCMC iteration = 4920000
MCMC iteration = 4921000
MCMC iteration = 4922000
MCMC iteration = 4923000
MCMC iteration = 4924000
MCMC iteration = 4925000
MCMC iteration = 4926000
MCMC iteration = 4927000
MCMC iteration = 4928000
MCMC iteration = 4929000
MCMC iteration = 4930000
MCMC iteration = 4931000
MCMC iteration = 4932000
MCMC iteration = 4933000
MCMC iteration = 4934000
MCMC iteration = 4935000
MCMC iteration = 4936000
MCMC iteration = 4937000
MCMC iteration = 4938000
MCMC iteration = 4939000
MCMC iteration = 4940000
MCMC iteration = 4941000
MCMC iteration = 4942000
MCMC iteration = 4943000
MCMC iteration = 4944000
MCMC iteration = 4945000
MCMC iteration = 4946000
MCMC iteration = 4947000
MCMC iteration = 4948000
MCMC iteration = 4949000
MCMC iteration = 4950000
MCMC iteration = 4951000
MCMC iteration = 4952000
MCMC iteration = 4953000
MCMC iteration = 4954000
MCMC iteration = 4955000
MCMC iteration = 4956000
MCMC iteration = 4957000
MCMC iteration = 4958000
MCMC iteration = 4959000
MCMC iteration = 4960000
MCMC iteration = 4961000
MCMC iteration = 4962000
MCMC iteration = 4963000
MCMC iteration = 4964000
MCMC iteration = 4965000
MCMC iteration = 4966000
MCMC iteration = 4967000
MCMC iteration = 4968000
MCMC iteration = 4969000
MCMC iteration = 4970000
MCMC iteration = 4971000
MCMC iteration = 4972000
MCMC iteration = 4973000
MCMC iteration = 4974000
MCMC iteration = 4975000
MCMC iteration = 4976000
MCMC iteration = 4977000
MCMC iteration = 4978000
MCMC iteration = 4979000
MCMC iteration = 4980000
MCMC iteration = 4981000
MCMC iteration = 4982000
MCMC iteration = 4983000
MCMC iteration = 4984000
MCMC iteration = 4985000
MCMC iteration = 4986000
MCMC iteration = 4987000
MCMC iteration = 4988000
MCMC iteration = 4989000
MCMC iteration = 4990000
MCMC iteration = 4991000
MCMC iteration = 4992000
MCMC iteration = 4993000
MCMC iteration = 4994000
MCMC iteration = 4995000
MCMC iteration = 4996000
MCMC iteration = 4997000
MCMC iteration = 4998000
MCMC iteration = 4999000
MCMC iteration = 5000000
MCMC iteration = 5001000
MCMC iteration = 5002000
MCMC iteration = 5003000
MCMC iteration = 5004000
MCMC iteration = 5005000
MCMC iteration = 5006000
MCMC iteration = 5007000
MCMC iteration = 5008000
MCMC iteration = 5009000
MCMC iteration = 5010000
MCMC iteration = 5011000
MCMC iteration = 5012000
MCMC iteration = 5013000
MCMC iteration = 5014000
MCMC iteration = 5015000
MCMC iteration = 5016000
MCMC iteration = 5017000
MCMC iteration = 5018000
MCMC iteration = 5019000
MCMC iteration = 5020000
MCMC iteration = 5021000
MCMC iteration = 5022000
MCMC iteration = 5023000
MCMC iteration = 5024000
MCMC iteration = 5025000
MCMC iteration = 5026000
MCMC iteration = 5027000
MCMC iteration = 5028000
MCMC iteration = 5029000
MCMC iteration = 5030000
MCMC iteration = 5031000
MCMC iteration = 5032000
MCMC iteration = 5033000
MCMC iteration = 5034000
MCMC iteration = 5035000
MCMC iteration = 5036000
MCMC iteration = 5037000
MCMC iteration = 5038000
MCMC iteration = 5039000
MCMC iteration = 5040000
MCMC iteration = 5041000
MCMC iteration = 5042000
MCMC iteration = 5043000
MCMC iteration = 5044000
MCMC iteration = 5045000
MCMC iteration = 5046000
MCMC iteration = 5047000
MCMC iteration = 5048000
MCMC iteration = 5049000
MCMC iteration = 5050000
MCMC iteration = 5051000
MCMC iteration = 5052000
MCMC iteration = 5053000
MCMC iteration = 5054000
MCMC iteration = 5055000
MCMC iteration = 5056000
MCMC iteration = 5057000
MCMC iteration = 5058000
MCMC iteration = 5059000
MCMC iteration = 5060000
MCMC iteration = 5061000
MCMC iteration = 5062000
MCMC iteration = 5063000
MCMC iteration = 5064000
MCMC iteration = 5065000
MCMC iteration = 5066000
MCMC iteration = 5067000
MCMC iteration = 5068000
MCMC iteration = 5069000
MCMC iteration = 5070000
MCMC iteration = 5071000
MCMC iteration = 5072000
MCMC iteration = 5073000
MCMC iteration = 5074000
MCMC iteration = 5075000
MCMC iteration = 5076000
MCMC iteration = 5077000
MCMC iteration = 5078000
MCMC iteration = 5079000
MCMC iteration = 5080000
MCMC iteration = 5081000
MCMC iteration = 5082000
MCMC iteration = 5083000
MCMC iteration = 5084000
MCMC iteration = 5085000
MCMC iteration = 5086000
MCMC iteration = 5087000
MCMC iteration = 5088000
MCMC iteration = 5089000
MCMC iteration = 5090000
MCMC iteration = 5091000
MCMC iteration = 5092000
MCMC iteration = 5093000
MCMC iteration = 5094000
MCMC iteration = 5095000
MCMC iteration = 5096000
MCMC iteration = 5097000
MCMC iteration = 5098000
MCMC iteration = 5099000
MCMC iteration = 5100000
MCMC iteration = 5101000
MCMC iteration = 5102000
MCMC iteration = 5103000
MCMC iteration = 5104000
MCMC iteration = 5105000
MCMC iteration = 5106000
MCMC iteration = 5107000
MCMC iteration = 5108000
MCMC iteration = 5109000
MCMC iteration = 5110000
MCMC iteration = 5111000
MCMC iteration = 5112000
MCMC iteration = 5113000
MCMC iteration = 5114000
MCMC iteration = 5115000
MCMC iteration = 5116000
MCMC iteration = 5117000
MCMC iteration = 5118000
MCMC iteration = 5119000
MCMC iteration = 5120000
MCMC iteration = 5121000
MCMC iteration = 5122000
MCMC iteration = 5123000
MCMC iteration = 5124000
MCMC iteration = 5125000
MCMC iteration = 5126000
MCMC iteration = 5127000
MCMC iteration = 5128000
MCMC iteration = 5129000
MCMC iteration = 5130000
MCMC iteration = 5131000
MCMC iteration = 5132000
MCMC iteration = 5133000
MCMC iteration = 5134000
MCMC iteration = 5135000
MCMC iteration = 5136000
MCMC iteration = 5137000
MCMC iteration = 5138000
MCMC iteration = 5139000
MCMC iteration = 5140000
MCMC iteration = 5141000
MCMC iteration = 5142000
MCMC iteration = 5143000
MCMC iteration = 5144000
MCMC iteration = 5145000
MCMC iteration = 5146000
MCMC iteration = 5147000
MCMC iteration = 5148000
MCMC iteration = 5149000
MCMC iteration = 5150000
MCMC iteration = 5151000
MCMC iteration = 5152000
MCMC iteration = 5153000
MCMC iteration = 5154000
MCMC iteration = 5155000
MCMC iteration = 5156000
MCMC iteration = 5157000
MCMC iteration = 5158000
MCMC iteration = 5159000
MCMC iteration = 5160000
MCMC iteration = 5161000
MCMC iteration = 5162000
MCMC iteration = 5163000
MCMC iteration = 5164000
MCMC iteration = 5165000
MCMC iteration = 5166000
MCMC iteration = 5167000
MCMC iteration = 5168000
MCMC iteration = 5169000
MCMC iteration = 5170000
MCMC iteration = 5171000
MCMC iteration = 5172000
MCMC iteration = 5173000
MCMC iteration = 5174000
MCMC iteration = 5175000
MCMC iteration = 5176000
MCMC iteration = 5177000
MCMC iteration = 5178000
MCMC iteration = 5179000
MCMC iteration = 5180000
MCMC iteration = 5181000
MCMC iteration = 5182000
MCMC iteration = 5183000
MCMC iteration = 5184000
MCMC iteration = 5185000
MCMC iteration = 5186000
MCMC iteration = 5187000
MCMC iteration = 5188000
MCMC iteration = 5189000
MCMC iteration = 5190000
MCMC iteration = 5191000
MCMC iteration = 5192000
MCMC iteration = 5193000
MCMC iteration = 5194000
MCMC iteration = 5195000
MCMC iteration = 5196000
MCMC iteration = 5197000
MCMC iteration = 5198000
MCMC iteration = 5199000
MCMC iteration = 5200000
MCMC iteration = 5201000
MCMC iteration = 5202000
MCMC iteration = 5203000
MCMC iteration = 5204000
MCMC iteration = 5205000
MCMC iteration = 5206000
MCMC iteration = 5207000
MCMC iteration = 5208000
MCMC iteration = 5209000
MCMC iteration = 5210000
MCMC iteration = 5211000
MCMC iteration = 5212000
MCMC iteration = 5213000
MCMC iteration = 5214000
MCMC iteration = 5215000
MCMC iteration = 5216000
MCMC iteration = 5217000
MCMC iteration = 5218000
MCMC iteration = 5219000
MCMC iteration = 5220000
MCMC iteration = 5221000
MCMC iteration = 5222000
MCMC iteration = 5223000
MCMC iteration = 5224000
MCMC iteration = 5225000
MCMC iteration = 5226000
MCMC iteration = 5227000
MCMC iteration = 5228000
MCMC iteration = 5229000
MCMC iteration = 5230000
MCMC iteration = 5231000
MCMC iteration = 5232000
MCMC iteration = 5233000
MCMC iteration = 5234000
MCMC iteration = 5235000
MCMC iteration = 5236000
MCMC iteration = 5237000
MCMC iteration = 5238000
MCMC iteration = 5239000
MCMC iteration = 5240000
MCMC iteration = 5241000
MCMC iteration = 5242000
MCMC iteration = 5243000
MCMC iteration = 5244000
MCMC iteration = 5245000
MCMC iteration = 5246000
MCMC iteration = 5247000
MCMC iteration = 5248000
MCMC iteration = 5249000
MCMC iteration = 5250000
MCMC iteration = 5251000
MCMC iteration = 5252000
MCMC iteration = 5253000
MCMC iteration = 5254000
MCMC iteration = 5255000
MCMC iteration = 5256000
MCMC iteration = 5257000
MCMC iteration = 5258000
MCMC iteration = 5259000
MCMC iteration = 5260000
MCMC iteration = 5261000
MCMC iteration = 5262000
MCMC iteration = 5263000
MCMC iteration = 5264000
MCMC iteration = 5265000
MCMC iteration = 5266000
MCMC iteration = 5267000
MCMC iteration = 5268000
MCMC iteration = 5269000
MCMC iteration = 5270000
MCMC iteration = 5271000
MCMC iteration = 5272000
MCMC iteration = 5273000
MCMC iteration = 5274000
MCMC iteration = 5275000
MCMC iteration = 5276000
MCMC iteration = 5277000
MCMC iteration = 5278000
MCMC iteration = 5279000
MCMC iteration = 5280000
MCMC iteration = 5281000
MCMC iteration = 5282000
MCMC iteration = 5283000
MCMC iteration = 5284000
MCMC iteration = 5285000
MCMC iteration = 5286000
MCMC iteration = 5287000
MCMC iteration = 5288000
MCMC iteration = 5289000
MCMC iteration = 5290000
MCMC iteration = 5291000
MCMC iteration = 5292000
MCMC iteration = 5293000
MCMC iteration = 5294000
MCMC iteration = 5295000
MCMC iteration = 5296000
MCMC iteration = 5297000
MCMC iteration = 5298000
MCMC iteration = 5299000
MCMC iteration = 5300000
MCMC iteration = 5301000
MCMC iteration = 5302000
MCMC iteration = 5303000
MCMC iteration = 5304000
MCMC iteration = 5305000
MCMC iteration = 5306000
MCMC iteration = 5307000
MCMC iteration = 5308000
MCMC iteration = 5309000
MCMC iteration = 5310000
MCMC iteration = 5311000
MCMC iteration = 5312000
MCMC iteration = 5313000
MCMC iteration = 5314000
MCMC iteration = 5315000
MCMC iteration = 5316000
MCMC iteration = 5317000
MCMC iteration = 5318000
MCMC iteration = 5319000
MCMC iteration = 5320000
MCMC iteration = 5321000
MCMC iteration = 5322000
MCMC iteration = 5323000
MCMC iteration = 5324000
MCMC iteration = 5325000
MCMC iteration = 5326000
MCMC iteration = 5327000
MCMC iteration = 5328000
MCMC iteration = 5329000
MCMC iteration = 5330000
MCMC iteration = 5331000
MCMC iteration = 5332000
MCMC iteration = 5333000
MCMC iteration = 5334000
MCMC iteration = 5335000
MCMC iteration = 5336000
MCMC iteration = 5337000
MCMC iteration = 5338000
MCMC iteration = 5339000
MCMC iteration = 5340000
MCMC iteration = 5341000
MCMC iteration = 5342000
MCMC iteration = 5343000
MCMC iteration = 5344000
MCMC iteration = 5345000
MCMC iteration = 5346000
MCMC iteration = 5347000
MCMC iteration = 5348000
MCMC iteration = 5349000
MCMC iteration = 5350000
MCMC iteration = 5351000
MCMC iteration = 5352000
MCMC iteration = 5353000
MCMC iteration = 5354000
MCMC iteration = 5355000
MCMC iteration = 5356000
MCMC iteration = 5357000
MCMC iteration = 5358000
MCMC iteration = 5359000
MCMC iteration = 5360000
MCMC iteration = 5361000
MCMC iteration = 5362000
MCMC iteration = 5363000
MCMC iteration = 5364000
MCMC iteration = 5365000
MCMC iteration = 5366000
MCMC iteration = 5367000
MCMC iteration = 5368000
MCMC iteration = 5369000
MCMC iteration = 5370000
MCMC iteration = 5371000
MCMC iteration = 5372000
MCMC iteration = 5373000
MCMC iteration = 5374000
MCMC iteration = 5375000
MCMC iteration = 5376000
MCMC iteration = 5377000
MCMC iteration = 5378000
MCMC iteration = 5379000
MCMC iteration = 5380000
MCMC iteration = 5381000
MCMC iteration = 5382000
MCMC iteration = 5383000
MCMC iteration = 5384000
MCMC iteration = 5385000
MCMC iteration = 5386000
MCMC iteration = 5387000
MCMC iteration = 5388000
MCMC iteration = 5389000
MCMC iteration = 5390000
MCMC iteration = 5391000
MCMC iteration = 5392000
MCMC iteration = 5393000
MCMC iteration = 5394000
MCMC iteration = 5395000
MCMC iteration = 5396000
MCMC iteration = 5397000
MCMC iteration = 5398000
MCMC iteration = 5399000
MCMC iteration = 5400000
MCMC iteration = 5401000
MCMC iteration = 5402000
MCMC iteration = 5403000
MCMC iteration = 5404000
MCMC iteration = 5405000
MCMC iteration = 5406000
MCMC iteration = 5407000
MCMC iteration = 5408000
MCMC iteration = 5409000
MCMC iteration = 5410000
MCMC iteration = 5411000
MCMC iteration = 5412000
MCMC iteration = 5413000
MCMC iteration = 5414000
MCMC iteration = 5415000
MCMC iteration = 5416000
MCMC iteration = 5417000
MCMC iteration = 5418000
MCMC iteration = 5419000
MCMC iteration = 5420000
MCMC iteration = 5421000
MCMC iteration = 5422000
MCMC iteration = 5423000
MCMC iteration = 5424000
MCMC iteration = 5425000
MCMC iteration = 5426000
MCMC iteration = 5427000
MCMC iteration = 5428000
MCMC iteration = 5429000
MCMC iteration = 5430000
MCMC iteration = 5431000
MCMC iteration = 5432000
MCMC iteration = 5433000
MCMC iteration = 5434000
MCMC iteration = 5435000
MCMC iteration = 5436000
MCMC iteration = 5437000
MCMC iteration = 5438000
MCMC iteration = 5439000
MCMC iteration = 5440000
MCMC iteration = 5441000
MCMC iteration = 5442000
MCMC iteration = 5443000
MCMC iteration = 5444000
MCMC iteration = 5445000
MCMC iteration = 5446000
MCMC iteration = 5447000
MCMC iteration = 5448000
MCMC iteration = 5449000
MCMC iteration = 5450000
MCMC iteration = 5451000
MCMC iteration = 5452000
MCMC iteration = 5453000
MCMC iteration = 5454000
MCMC iteration = 5455000
MCMC iteration = 5456000
MCMC iteration = 5457000
MCMC iteration = 5458000
MCMC iteration = 5459000
MCMC iteration = 5460000
MCMC iteration = 5461000
MCMC iteration = 5462000
MCMC iteration = 5463000
MCMC iteration = 5464000
MCMC iteration = 5465000
MCMC iteration = 5466000
MCMC iteration = 5467000
MCMC iteration = 5468000
MCMC iteration = 5469000
MCMC iteration = 5470000
MCMC iteration = 5471000
MCMC iteration = 5472000
MCMC iteration = 5473000
MCMC iteration = 5474000
MCMC iteration = 5475000
MCMC iteration = 5476000
MCMC iteration = 5477000
MCMC iteration = 5478000
MCMC iteration = 5479000
MCMC iteration = 5480000
MCMC iteration = 5481000
MCMC iteration = 5482000
MCMC iteration = 5483000
MCMC iteration = 5484000
MCMC iteration = 5485000
MCMC iteration = 5486000
MCMC iteration = 5487000
MCMC iteration = 5488000
MCMC iteration = 5489000
MCMC iteration = 5490000
MCMC iteration = 5491000
MCMC iteration = 5492000
MCMC iteration = 5493000
MCMC iteration = 5494000
MCMC iteration = 5495000
MCMC iteration = 5496000
MCMC iteration = 5497000
MCMC iteration = 5498000
MCMC iteration = 5499000
MCMC iteration = 5500000
MCMC iteration = 5501000
MCMC iteration = 5502000
MCMC iteration = 5503000
MCMC iteration = 5504000
MCMC iteration = 5505000
MCMC iteration = 5506000
MCMC iteration = 5507000
MCMC iteration = 5508000
MCMC iteration = 5509000
MCMC iteration = 5510000
MCMC iteration = 5511000
MCMC iteration = 5512000
MCMC iteration = 5513000
MCMC iteration = 5514000
MCMC iteration = 5515000
MCMC iteration = 5516000
MCMC iteration = 5517000
MCMC iteration = 5518000
MCMC iteration = 5519000
MCMC iteration = 5520000
MCMC iteration = 5521000
MCMC iteration = 5522000
MCMC iteration = 5523000
MCMC iteration = 5524000
MCMC iteration = 5525000
MCMC iteration = 5526000
MCMC iteration = 5527000
MCMC iteration = 5528000
MCMC iteration = 5529000
MCMC iteration = 5530000
MCMC iteration = 5531000
MCMC iteration = 5532000
MCMC iteration = 5533000
MCMC iteration = 5534000
MCMC iteration = 5535000
MCMC iteration = 5536000
MCMC iteration = 5537000
MCMC iteration = 5538000
MCMC iteration = 5539000
MCMC iteration = 5540000
MCMC iteration = 5541000
MCMC iteration = 5542000
MCMC iteration = 5543000
MCMC iteration = 5544000
MCMC iteration = 5545000
MCMC iteration = 5546000
MCMC iteration = 5547000
MCMC iteration = 5548000
MCMC iteration = 5549000
MCMC iteration = 5550000
MCMC iteration = 5551000
MCMC iteration = 5552000
MCMC iteration = 5553000
MCMC iteration = 5554000
MCMC iteration = 5555000
MCMC iteration = 5556000
MCMC iteration = 5557000
MCMC iteration = 5558000
MCMC iteration = 5559000
MCMC iteration = 5560000
MCMC iteration = 5561000
MCMC iteration = 5562000
MCMC iteration = 5563000
MCMC iteration = 5564000
MCMC iteration = 5565000
MCMC iteration = 5566000
MCMC iteration = 5567000
MCMC iteration = 5568000
MCMC iteration = 5569000
MCMC iteration = 5570000
MCMC iteration = 5571000
MCMC iteration = 5572000
MCMC iteration = 5573000
MCMC iteration = 5574000
MCMC iteration = 5575000
MCMC iteration = 5576000
MCMC iteration = 5577000
MCMC iteration = 5578000
MCMC iteration = 5579000
MCMC iteration = 5580000
MCMC iteration = 5581000
MCMC iteration = 5582000
MCMC iteration = 5583000
MCMC iteration = 5584000
MCMC iteration = 5585000
MCMC iteration = 5586000
MCMC iteration = 5587000
MCMC iteration = 5588000
MCMC iteration = 5589000
MCMC iteration = 5590000
MCMC iteration = 5591000
MCMC iteration = 5592000
MCMC iteration = 5593000
MCMC iteration = 5594000
MCMC iteration = 5595000
MCMC iteration = 5596000
MCMC iteration = 5597000
MCMC iteration = 5598000
MCMC iteration = 5599000
MCMC iteration = 5600000
MCMC iteration = 5601000
MCMC iteration = 5602000
MCMC iteration = 5603000
MCMC iteration = 5604000
MCMC iteration = 5605000
MCMC iteration = 5606000
MCMC iteration = 5607000
MCMC iteration = 5608000
MCMC iteration = 5609000
MCMC iteration = 5610000
MCMC iteration = 5611000
MCMC iteration = 5612000
MCMC iteration = 5613000
MCMC iteration = 5614000
MCMC iteration = 5615000
MCMC iteration = 5616000
MCMC iteration = 5617000
MCMC iteration = 5618000
MCMC iteration = 5619000
MCMC iteration = 5620000
MCMC iteration = 5621000
MCMC iteration = 5622000
MCMC iteration = 5623000
MCMC iteration = 5624000
MCMC iteration = 5625000
MCMC iteration = 5626000
MCMC iteration = 5627000
MCMC iteration = 5628000
MCMC iteration = 5629000
MCMC iteration = 5630000
MCMC iteration = 5631000
MCMC iteration = 5632000
MCMC iteration = 5633000
MCMC iteration = 5634000
MCMC iteration = 5635000
MCMC iteration = 5636000
MCMC iteration = 5637000
MCMC iteration = 5638000
MCMC iteration = 5639000
MCMC iteration = 5640000
MCMC iteration = 5641000
MCMC iteration = 5642000
MCMC iteration = 5643000
MCMC iteration = 5644000
MCMC iteration = 5645000
MCMC iteration = 5646000
MCMC iteration = 5647000
MCMC iteration = 5648000
MCMC iteration = 5649000
MCMC iteration = 5650000
MCMC iteration = 5651000
MCMC iteration = 5652000
MCMC iteration = 5653000
MCMC iteration = 5654000
MCMC iteration = 5655000
MCMC iteration = 5656000
MCMC iteration = 5657000
MCMC iteration = 5658000
MCMC iteration = 5659000
MCMC iteration = 5660000
MCMC iteration = 5661000
MCMC iteration = 5662000
MCMC iteration = 5663000
MCMC iteration = 5664000
MCMC iteration = 5665000
MCMC iteration = 5666000
MCMC iteration = 5667000
MCMC iteration = 5668000
MCMC iteration = 5669000
MCMC iteration = 5670000
MCMC iteration = 5671000
MCMC iteration = 5672000
MCMC iteration = 5673000
MCMC iteration = 5674000
MCMC iteration = 5675000
MCMC iteration = 5676000
MCMC iteration = 5677000
MCMC iteration = 5678000
MCMC iteration = 5679000
MCMC iteration = 5680000
MCMC iteration = 5681000
MCMC iteration = 5682000
MCMC iteration = 5683000
MCMC iteration = 5684000
MCMC iteration = 5685000
MCMC iteration = 5686000
MCMC iteration = 5687000
MCMC iteration = 5688000
MCMC iteration = 5689000
MCMC iteration = 5690000
MCMC iteration = 5691000
MCMC iteration = 5692000
MCMC iteration = 5693000
MCMC iteration = 5694000
MCMC iteration = 5695000
MCMC iteration = 5696000
MCMC iteration = 5697000
MCMC iteration = 5698000
MCMC iteration = 5699000
MCMC iteration = 5700000
MCMC iteration = 5701000
MCMC iteration = 5702000
MCMC iteration = 5703000
MCMC iteration = 5704000
MCMC iteration = 5705000
MCMC iteration = 5706000
MCMC iteration = 5707000
MCMC iteration = 5708000
MCMC iteration = 5709000
MCMC iteration = 5710000
MCMC iteration = 5711000
MCMC iteration = 5712000
MCMC iteration = 5713000
MCMC iteration = 5714000
MCMC iteration = 5715000
MCMC iteration = 5716000
MCMC iteration = 5717000
MCMC iteration = 5718000
MCMC iteration = 5719000
MCMC iteration = 5720000
MCMC iteration = 5721000
MCMC iteration = 5722000
MCMC iteration = 5723000
MCMC iteration = 5724000
MCMC iteration = 5725000
MCMC iteration = 5726000
MCMC iteration = 5727000
MCMC iteration = 5728000
MCMC iteration = 5729000
MCMC iteration = 5730000
MCMC iteration = 5731000
MCMC iteration = 5732000
MCMC iteration = 5733000
MCMC iteration = 5734000
MCMC iteration = 5735000
MCMC iteration = 5736000
MCMC iteration = 5737000
MCMC iteration = 5738000
MCMC iteration = 5739000
MCMC iteration = 5740000
MCMC iteration = 5741000
MCMC iteration = 5742000
MCMC iteration = 5743000
MCMC iteration = 5744000
MCMC iteration = 5745000
MCMC iteration = 5746000
MCMC iteration = 5747000
MCMC iteration = 5748000
MCMC iteration = 5749000
MCMC iteration = 5750000
MCMC iteration = 5751000
MCMC iteration = 5752000
MCMC iteration = 5753000
MCMC iteration = 5754000
MCMC iteration = 5755000
MCMC iteration = 5756000
MCMC iteration = 5757000
MCMC iteration = 5758000
MCMC iteration = 5759000
MCMC iteration = 5760000
MCMC iteration = 5761000
MCMC iteration = 5762000
MCMC iteration = 5763000
MCMC iteration = 5764000
MCMC iteration = 5765000
MCMC iteration = 5766000
MCMC iteration = 5767000
MCMC iteration = 5768000
MCMC iteration = 5769000
MCMC iteration = 5770000
MCMC iteration = 5771000
MCMC iteration = 5772000
MCMC iteration = 5773000
MCMC iteration = 5774000
MCMC iteration = 5775000
MCMC iteration = 5776000
MCMC iteration = 5777000
MCMC iteration = 5778000
MCMC iteration = 5779000
MCMC iteration = 5780000
MCMC iteration = 5781000
MCMC iteration = 5782000
MCMC iteration = 5783000
MCMC iteration = 5784000
MCMC iteration = 5785000
MCMC iteration = 5786000
MCMC iteration = 5787000
MCMC iteration = 5788000
MCMC iteration = 5789000
MCMC iteration = 5790000
MCMC iteration = 5791000
MCMC iteration = 5792000
MCMC iteration = 5793000
MCMC iteration = 5794000
MCMC iteration = 5795000
MCMC iteration = 5796000
MCMC iteration = 5797000
MCMC iteration = 5798000
MCMC iteration = 5799000
MCMC iteration = 5800000
MCMC iteration = 5801000
MCMC iteration = 5802000
MCMC iteration = 5803000
MCMC iteration = 5804000
MCMC iteration = 5805000
MCMC iteration = 5806000
MCMC iteration = 5807000
MCMC iteration = 5808000
MCMC iteration = 5809000
MCMC iteration = 5810000
MCMC iteration = 5811000
MCMC iteration = 5812000
MCMC iteration = 5813000
MCMC iteration = 5814000
MCMC iteration = 5815000
MCMC iteration = 5816000
MCMC iteration = 5817000
MCMC iteration = 5818000
MCMC iteration = 5819000
MCMC iteration = 5820000
MCMC iteration = 5821000
MCMC iteration = 5822000
MCMC iteration = 5823000
MCMC iteration = 5824000
MCMC iteration = 5825000
MCMC iteration = 5826000
MCMC iteration = 5827000
MCMC iteration = 5828000
MCMC iteration = 5829000
MCMC iteration = 5830000
MCMC iteration = 5831000
MCMC iteration = 5832000
MCMC iteration = 5833000
MCMC iteration = 5834000
MCMC iteration = 5835000
MCMC iteration = 5836000
MCMC iteration = 5837000
MCMC iteration = 5838000
MCMC iteration = 5839000
MCMC iteration = 5840000
MCMC iteration = 5841000
MCMC iteration = 5842000
MCMC iteration = 5843000
MCMC iteration = 5844000
MCMC iteration = 5845000
MCMC iteration = 5846000
MCMC iteration = 5847000
MCMC iteration = 5848000
MCMC iteration = 5849000
MCMC iteration = 5850000
MCMC iteration = 5851000
MCMC iteration = 5852000
MCMC iteration = 5853000
MCMC iteration = 5854000
MCMC iteration = 5855000
MCMC iteration = 5856000
MCMC iteration = 5857000
MCMC iteration = 5858000
MCMC iteration = 5859000
MCMC iteration = 5860000
MCMC iteration = 5861000
MCMC iteration = 5862000
MCMC iteration = 5863000
MCMC iteration = 5864000
MCMC iteration = 5865000
MCMC iteration = 5866000
MCMC iteration = 5867000
MCMC iteration = 5868000
MCMC iteration = 5869000
MCMC iteration = 5870000
MCMC iteration = 5871000
MCMC iteration = 5872000
MCMC iteration = 5873000
MCMC iteration = 5874000
MCMC iteration = 5875000
MCMC iteration = 5876000
MCMC iteration = 5877000
MCMC iteration = 5878000
MCMC iteration = 5879000
MCMC iteration = 5880000
MCMC iteration = 5881000
MCMC iteration = 5882000
MCMC iteration = 5883000
MCMC iteration = 5884000
MCMC iteration = 5885000
MCMC iteration = 5886000
MCMC iteration = 5887000
MCMC iteration = 5888000
MCMC iteration = 5889000
MCMC iteration = 5890000
MCMC iteration = 5891000
MCMC iteration = 5892000
MCMC iteration = 5893000
MCMC iteration = 5894000
MCMC iteration = 5895000
MCMC iteration = 5896000
MCMC iteration = 5897000
MCMC iteration = 5898000
MCMC iteration = 5899000
MCMC iteration = 5900000
MCMC iteration = 5901000
MCMC iteration = 5902000
MCMC iteration = 5903000
MCMC iteration = 5904000
MCMC iteration = 5905000
MCMC iteration = 5906000
MCMC iteration = 5907000
MCMC iteration = 5908000
MCMC iteration = 5909000
MCMC iteration = 5910000
MCMC iteration = 5911000
MCMC iteration = 5912000
MCMC iteration = 5913000
MCMC iteration = 5914000
MCMC iteration = 5915000
MCMC iteration = 5916000
MCMC iteration = 5917000
MCMC iteration = 5918000
MCMC iteration = 5919000
MCMC iteration = 5920000
MCMC iteration = 5921000
MCMC iteration = 5922000
MCMC iteration = 5923000
MCMC iteration = 5924000
MCMC iteration = 5925000
MCMC iteration = 5926000
MCMC iteration = 5927000
MCMC iteration = 5928000
MCMC iteration = 5929000
MCMC iteration = 5930000
MCMC iteration = 5931000
MCMC iteration = 5932000
MCMC iteration = 5933000
MCMC iteration = 5934000
MCMC iteration = 5935000
MCMC iteration = 5936000
MCMC iteration = 5937000
MCMC iteration = 5938000
MCMC iteration = 5939000
MCMC iteration = 5940000
MCMC iteration = 5941000
MCMC iteration = 5942000
MCMC iteration = 5943000
MCMC iteration = 5944000
MCMC iteration = 5945000
MCMC iteration = 5946000
MCMC iteration = 5947000
MCMC iteration = 5948000
MCMC iteration = 5949000
MCMC iteration = 5950000
MCMC iteration = 5951000
MCMC iteration = 5952000
MCMC iteration = 5953000
MCMC iteration = 5954000
MCMC iteration = 5955000
MCMC iteration = 5956000
MCMC iteration = 5957000
MCMC iteration = 5958000
MCMC iteration = 5959000
MCMC iteration = 5960000
MCMC iteration = 5961000
MCMC iteration = 5962000
MCMC iteration = 5963000
MCMC iteration = 5964000
MCMC iteration = 5965000
MCMC iteration = 5966000
MCMC iteration = 5967000
MCMC iteration = 5968000
MCMC iteration = 5969000
MCMC iteration = 5970000
MCMC iteration = 5971000
MCMC iteration = 5972000
MCMC iteration = 5973000
MCMC iteration = 5974000
MCMC iteration = 5975000
MCMC iteration = 5976000
MCMC iteration = 5977000
MCMC iteration = 5978000
MCMC iteration = 5979000
MCMC iteration = 5980000
MCMC iteration = 5981000
MCMC iteration = 5982000
MCMC iteration = 5983000
MCMC iteration = 5984000
MCMC iteration = 5985000
MCMC iteration = 5986000
MCMC iteration = 5987000
MCMC iteration = 5988000
MCMC iteration = 5989000
MCMC iteration = 5990000
MCMC iteration = 5991000
MCMC iteration = 5992000
MCMC iteration = 5993000
MCMC iteration = 5994000
MCMC iteration = 5995000
MCMC iteration = 5996000
MCMC iteration = 5997000
MCMC iteration = 5998000
MCMC iteration = 5999000
MCMC iteration = 6000000
MCMC iteration = 6001000
MCMC iteration = 6002000
MCMC iteration = 6003000
MCMC iteration = 6004000
MCMC iteration = 6005000
MCMC iteration = 6006000
MCMC iteration = 6007000
MCMC iteration = 6008000
MCMC iteration = 6009000
MCMC iteration = 6010000
MCMC iteration = 6011000
MCMC iteration = 6012000
MCMC iteration = 6013000
MCMC iteration = 6014000
MCMC iteration = 6015000
MCMC iteration = 6016000
MCMC iteration = 6017000
MCMC iteration = 6018000
MCMC iteration = 6019000
MCMC iteration = 6020000
MCMC iteration = 6021000
MCMC iteration = 6022000
MCMC iteration = 6023000
MCMC iteration = 6024000
MCMC iteration = 6025000
MCMC iteration = 6026000
MCMC iteration = 6027000
MCMC iteration = 6028000
MCMC iteration = 6029000
MCMC iteration = 6030000
MCMC iteration = 6031000
MCMC iteration = 6032000
MCMC iteration = 6033000
MCMC iteration = 6034000
MCMC iteration = 6035000
MCMC iteration = 6036000
MCMC iteration = 6037000
MCMC iteration = 6038000
MCMC iteration = 6039000
MCMC iteration = 6040000
MCMC iteration = 6041000
MCMC iteration = 6042000
MCMC iteration = 6043000
MCMC iteration = 6044000
MCMC iteration = 6045000
MCMC iteration = 6046000
MCMC iteration = 6047000
MCMC iteration = 6048000
MCMC iteration = 6049000
MCMC iteration = 6050000
MCMC iteration = 6051000
MCMC iteration = 6052000
MCMC iteration = 6053000
MCMC iteration = 6054000
MCMC iteration = 6055000
MCMC iteration = 6056000
MCMC iteration = 6057000
MCMC iteration = 6058000
MCMC iteration = 6059000
MCMC iteration = 6060000
MCMC iteration = 6061000
MCMC iteration = 6062000
MCMC iteration = 6063000
MCMC iteration = 6064000
MCMC iteration = 6065000
MCMC iteration = 6066000
MCMC iteration = 6067000
MCMC iteration = 6068000
MCMC iteration = 6069000
MCMC iteration = 6070000
MCMC iteration = 6071000
MCMC iteration = 6072000
MCMC iteration = 6073000
MCMC iteration = 6074000
MCMC iteration = 6075000
MCMC iteration = 6076000
MCMC iteration = 6077000
MCMC iteration = 6078000
MCMC iteration = 6079000
MCMC iteration = 6080000
MCMC iteration = 6081000
MCMC iteration = 6082000
MCMC iteration = 6083000
MCMC iteration = 6084000
MCMC iteration = 6085000
MCMC iteration = 6086000
MCMC iteration = 6087000
MCMC iteration = 6088000
MCMC iteration = 6089000
MCMC iteration = 6090000
MCMC iteration = 6091000
MCMC iteration = 6092000
MCMC iteration = 6093000
MCMC iteration = 6094000
MCMC iteration = 6095000
MCMC iteration = 6096000
MCMC iteration = 6097000
MCMC iteration = 6098000
MCMC iteration = 6099000
MCMC iteration = 6100000
MCMC iteration = 6101000
MCMC iteration = 6102000
MCMC iteration = 6103000
MCMC iteration = 6104000
MCMC iteration = 6105000
MCMC iteration = 6106000
MCMC iteration = 6107000
MCMC iteration = 6108000
MCMC iteration = 6109000
MCMC iteration = 6110000
MCMC iteration = 6111000
MCMC iteration = 6112000
MCMC iteration = 6113000
MCMC iteration = 6114000
MCMC iteration = 6115000
MCMC iteration = 6116000
MCMC iteration = 6117000
MCMC iteration = 6118000
MCMC iteration = 6119000
MCMC iteration = 6120000
MCMC iteration = 6121000
MCMC iteration = 6122000
MCMC iteration = 6123000
MCMC iteration = 6124000
MCMC iteration = 6125000
MCMC iteration = 6126000
MCMC iteration = 6127000
MCMC iteration = 6128000
MCMC iteration = 6129000
MCMC iteration = 6130000
MCMC iteration = 6131000
MCMC iteration = 6132000
MCMC iteration = 6133000
MCMC iteration = 6134000
MCMC iteration = 6135000
MCMC iteration = 6136000
MCMC iteration = 6137000
MCMC iteration = 6138000
MCMC iteration = 6139000
MCMC iteration = 6140000
MCMC iteration = 6141000
MCMC iteration = 6142000
MCMC iteration = 6143000
MCMC iteration = 6144000
MCMC iteration = 6145000
MCMC iteration = 6146000
MCMC iteration = 6147000
MCMC iteration = 6148000
MCMC iteration = 6149000
MCMC iteration = 6150000
MCMC iteration = 6151000
MCMC iteration = 6152000
MCMC iteration = 6153000
MCMC iteration = 6154000
MCMC iteration = 6155000
MCMC iteration = 6156000
MCMC iteration = 6157000
MCMC iteration = 6158000
MCMC iteration = 6159000
MCMC iteration = 6160000
MCMC iteration = 6161000
MCMC iteration = 6162000
MCMC iteration = 6163000
MCMC iteration = 6164000
MCMC iteration = 6165000
MCMC iteration = 6166000
MCMC iteration = 6167000
MCMC iteration = 6168000
MCMC iteration = 6169000
MCMC iteration = 6170000
MCMC iteration = 6171000
MCMC iteration = 6172000
MCMC iteration = 6173000
MCMC iteration = 6174000
MCMC iteration = 6175000
MCMC iteration = 6176000
MCMC iteration = 6177000
MCMC iteration = 6178000
MCMC iteration = 6179000
MCMC iteration = 6180000
MCMC iteration = 6181000
MCMC iteration = 6182000
MCMC iteration = 6183000
MCMC iteration = 6184000
MCMC iteration = 6185000
MCMC iteration = 6186000
MCMC iteration = 6187000
MCMC iteration = 6188000
MCMC iteration = 6189000
MCMC iteration = 6190000
MCMC iteration = 6191000
MCMC iteration = 6192000
MCMC iteration = 6193000
MCMC iteration = 6194000
MCMC iteration = 6195000
MCMC iteration = 6196000
MCMC iteration = 6197000
MCMC iteration = 6198000
MCMC iteration = 6199000
MCMC iteration = 6200000
MCMC iteration = 6201000
MCMC iteration = 6202000
MCMC iteration = 6203000
MCMC iteration = 6204000
MCMC iteration = 6205000
MCMC iteration = 6206000
MCMC iteration = 6207000
MCMC iteration = 6208000
MCMC iteration = 6209000
MCMC iteration = 6210000
MCMC iteration = 6211000
MCMC iteration = 6212000
MCMC iteration = 6213000
MCMC iteration = 6214000
MCMC iteration = 6215000
MCMC iteration = 6216000
MCMC iteration = 6217000
MCMC iteration = 6218000
MCMC iteration = 6219000
MCMC iteration = 6220000
MCMC iteration = 6221000
MCMC iteration = 6222000
MCMC iteration = 6223000
MCMC iteration = 6224000
MCMC iteration = 6225000
MCMC iteration = 6226000
MCMC iteration = 6227000
MCMC iteration = 6228000
MCMC iteration = 6229000
MCMC iteration = 6230000
MCMC iteration = 6231000
MCMC iteration = 6232000
MCMC iteration = 6233000
MCMC iteration = 6234000
MCMC iteration = 6235000
MCMC iteration = 6236000
MCMC iteration = 6237000
MCMC iteration = 6238000
MCMC iteration = 6239000
MCMC iteration = 6240000
MCMC iteration = 6241000
MCMC iteration = 6242000
MCMC iteration = 6243000
MCMC iteration = 6244000
MCMC iteration = 6245000
MCMC iteration = 6246000
MCMC iteration = 6247000
MCMC iteration = 6248000
MCMC iteration = 6249000
MCMC iteration = 6250000
MCMC iteration = 6251000
MCMC iteration = 6252000
MCMC iteration = 6253000
MCMC iteration = 6254000
MCMC iteration = 6255000
MCMC iteration = 6256000
MCMC iteration = 6257000
MCMC iteration = 6258000
MCMC iteration = 6259000
MCMC iteration = 6260000
MCMC iteration = 6261000
MCMC iteration = 6262000
MCMC iteration = 6263000
MCMC iteration = 6264000
MCMC iteration = 6265000
MCMC iteration = 6266000
MCMC iteration = 6267000
MCMC iteration = 6268000
MCMC iteration = 6269000
MCMC iteration = 6270000
MCMC iteration = 6271000
MCMC iteration = 6272000
MCMC iteration = 6273000
MCMC iteration = 6274000
MCMC iteration = 6275000
MCMC iteration = 6276000
MCMC iteration = 6277000
MCMC iteration = 6278000
MCMC iteration = 6279000
MCMC iteration = 6280000
MCMC iteration = 6281000
MCMC iteration = 6282000
MCMC iteration = 6283000
MCMC iteration = 6284000
MCMC iteration = 6285000
MCMC iteration = 6286000
MCMC iteration = 6287000
MCMC iteration = 6288000
MCMC iteration = 6289000
MCMC iteration = 6290000
MCMC iteration = 6291000
MCMC iteration = 6292000
MCMC iteration = 6293000
MCMC iteration = 6294000
MCMC iteration = 6295000
MCMC iteration = 6296000
MCMC iteration = 6297000
MCMC iteration = 6298000
MCMC iteration = 6299000
MCMC iteration = 6300000
MCMC iteration = 6301000
MCMC iteration = 6302000
MCMC iteration = 6303000
MCMC iteration = 6304000
MCMC iteration = 6305000
MCMC iteration = 6306000
MCMC iteration = 6307000
MCMC iteration = 6308000
MCMC iteration = 6309000
MCMC iteration = 6310000
MCMC iteration = 6311000
MCMC iteration = 6312000
MCMC iteration = 6313000
MCMC iteration = 6314000
MCMC iteration = 6315000
MCMC iteration = 6316000
MCMC iteration = 6317000
MCMC iteration = 6318000
MCMC iteration = 6319000
MCMC iteration = 6320000
MCMC iteration = 6321000
MCMC iteration = 6322000
MCMC iteration = 6323000
MCMC iteration = 6324000
MCMC iteration = 6325000
MCMC iteration = 6326000
MCMC iteration = 6327000
MCMC iteration = 6328000
MCMC iteration = 6329000
MCMC iteration = 6330000
MCMC iteration = 6331000
MCMC iteration = 6332000
MCMC iteration = 6333000
MCMC iteration = 6334000
MCMC iteration = 6335000
MCMC iteration = 6336000
MCMC iteration = 6337000
MCMC iteration = 6338000
MCMC iteration = 6339000
MCMC iteration = 6340000
MCMC iteration = 6341000
MCMC iteration = 6342000
MCMC iteration = 6343000
MCMC iteration = 6344000
MCMC iteration = 6345000
MCMC iteration = 6346000
MCMC iteration = 6347000
MCMC iteration = 6348000
MCMC iteration = 6349000
MCMC iteration = 6350000
MCMC iteration = 6351000
MCMC iteration = 6352000
MCMC iteration = 6353000
MCMC iteration = 6354000
MCMC iteration = 6355000
MCMC iteration = 6356000
MCMC iteration = 6357000
MCMC iteration = 6358000
MCMC iteration = 6359000
MCMC iteration = 6360000
MCMC iteration = 6361000
MCMC iteration = 6362000
MCMC iteration = 6363000
MCMC iteration = 6364000
MCMC iteration = 6365000
MCMC iteration = 6366000
MCMC iteration = 6367000
MCMC iteration = 6368000
MCMC iteration = 6369000
MCMC iteration = 6370000
MCMC iteration = 6371000
MCMC iteration = 6372000
MCMC iteration = 6373000
MCMC iteration = 6374000
MCMC iteration = 6375000
MCMC iteration = 6376000
MCMC iteration = 6377000
MCMC iteration = 6378000
MCMC iteration = 6379000
MCMC iteration = 6380000
MCMC iteration = 6381000
MCMC iteration = 6382000
MCMC iteration = 6383000
MCMC iteration = 6384000
MCMC iteration = 6385000
MCMC iteration = 6386000
MCMC iteration = 6387000
MCMC iteration = 6388000
MCMC iteration = 6389000
MCMC iteration = 6390000
MCMC iteration = 6391000
MCMC iteration = 6392000
MCMC iteration = 6393000
MCMC iteration = 6394000
MCMC iteration = 6395000
MCMC iteration = 6396000
MCMC iteration = 6397000
MCMC iteration = 6398000
MCMC iteration = 6399000
MCMC iteration = 6400000
MCMC iteration = 6401000
MCMC iteration = 6402000
MCMC iteration = 6403000
MCMC iteration = 6404000
MCMC iteration = 6405000
MCMC iteration = 6406000
MCMC iteration = 6407000
MCMC iteration = 6408000
MCMC iteration = 6409000
MCMC iteration = 6410000
MCMC iteration = 6411000
MCMC iteration = 6412000
MCMC iteration = 6413000
MCMC iteration = 6414000
MCMC iteration = 6415000
MCMC iteration = 6416000
MCMC iteration = 6417000
MCMC iteration = 6418000
MCMC iteration = 6419000
MCMC iteration = 6420000
MCMC iteration = 6421000
MCMC iteration = 6422000
MCMC iteration = 6423000
MCMC iteration = 6424000
MCMC iteration = 6425000
MCMC iteration = 6426000
MCMC iteration = 6427000
MCMC iteration = 6428000
MCMC iteration = 6429000
MCMC iteration = 6430000
MCMC iteration = 6431000
MCMC iteration = 6432000
MCMC iteration = 6433000
MCMC iteration = 6434000
MCMC iteration = 6435000
MCMC iteration = 6436000
MCMC iteration = 6437000
MCMC iteration = 6438000
MCMC iteration = 6439000
MCMC iteration = 6440000
MCMC iteration = 6441000
MCMC iteration = 6442000
MCMC iteration = 6443000
MCMC iteration = 6444000
MCMC iteration = 6445000
MCMC iteration = 6446000
MCMC iteration = 6447000
MCMC iteration = 6448000
MCMC iteration = 6449000
MCMC iteration = 6450000
MCMC iteration = 6451000
MCMC iteration = 6452000
MCMC iteration = 6453000
MCMC iteration = 6454000
MCMC iteration = 6455000
MCMC iteration = 6456000
MCMC iteration = 6457000
MCMC iteration = 6458000
MCMC iteration = 6459000
MCMC iteration = 6460000
MCMC iteration = 6461000
MCMC iteration = 6462000
MCMC iteration = 6463000
MCMC iteration = 6464000
MCMC iteration = 6465000
MCMC iteration = 6466000
MCMC iteration = 6467000
MCMC iteration = 6468000
MCMC iteration = 6469000
MCMC iteration = 6470000
MCMC iteration = 6471000
MCMC iteration = 6472000
MCMC iteration = 6473000
MCMC iteration = 6474000
MCMC iteration = 6475000
MCMC iteration = 6476000
MCMC iteration = 6477000
MCMC iteration = 6478000
MCMC iteration = 6479000
MCMC iteration = 6480000
MCMC iteration = 6481000
MCMC iteration = 6482000
MCMC iteration = 6483000
MCMC iteration = 6484000
MCMC iteration = 6485000
MCMC iteration = 6486000
MCMC iteration = 6487000
MCMC iteration = 6488000
MCMC iteration = 6489000
MCMC iteration = 6490000
MCMC iteration = 6491000
MCMC iteration = 6492000
MCMC iteration = 6493000
MCMC iteration = 6494000
MCMC iteration = 6495000
MCMC iteration = 6496000
MCMC iteration = 6497000
MCMC iteration = 6498000
MCMC iteration = 6499000
MCMC iteration = 6500000
MCMC iteration = 6501000
MCMC iteration = 6502000
MCMC iteration = 6503000
MCMC iteration = 6504000
MCMC iteration = 6505000
MCMC iteration = 6506000
MCMC iteration = 6507000
MCMC iteration = 6508000
MCMC iteration = 6509000
MCMC iteration = 6510000
MCMC iteration = 6511000
MCMC iteration = 6512000
MCMC iteration = 6513000
MCMC iteration = 6514000
MCMC iteration = 6515000
MCMC iteration = 6516000
MCMC iteration = 6517000
MCMC iteration = 6518000
MCMC iteration = 6519000
MCMC iteration = 6520000
MCMC iteration = 6521000
MCMC iteration = 6522000
MCMC iteration = 6523000
MCMC iteration = 6524000
MCMC iteration = 6525000
MCMC iteration = 6526000
MCMC iteration = 6527000
MCMC iteration = 6528000
MCMC iteration = 6529000
MCMC iteration = 6530000
MCMC iteration = 6531000
MCMC iteration = 6532000
MCMC iteration = 6533000
MCMC iteration = 6534000
MCMC iteration = 6535000
MCMC iteration = 6536000
MCMC iteration = 6537000
MCMC iteration = 6538000
MCMC iteration = 6539000
MCMC iteration = 6540000
MCMC iteration = 6541000
MCMC iteration = 6542000
MCMC iteration = 6543000
MCMC iteration = 6544000
MCMC iteration = 6545000
MCMC iteration = 6546000
MCMC iteration = 6547000
MCMC iteration = 6548000
MCMC iteration = 6549000
MCMC iteration = 6550000
MCMC iteration = 6551000
MCMC iteration = 6552000
MCMC iteration = 6553000
MCMC iteration = 6554000
MCMC iteration = 6555000
MCMC iteration = 6556000
MCMC iteration = 6557000
MCMC iteration = 6558000
MCMC iteration = 6559000
MCMC iteration = 6560000
MCMC iteration = 6561000
MCMC iteration = 6562000
MCMC iteration = 6563000
MCMC iteration = 6564000
MCMC iteration = 6565000
MCMC iteration = 6566000
MCMC iteration = 6567000
MCMC iteration = 6568000
MCMC iteration = 6569000
MCMC iteration = 6570000
MCMC iteration = 6571000
MCMC iteration = 6572000
MCMC iteration = 6573000
MCMC iteration = 6574000
MCMC iteration = 6575000
MCMC iteration = 6576000
MCMC iteration = 6577000
MCMC iteration = 6578000
MCMC iteration = 6579000
MCMC iteration = 6580000
MCMC iteration = 6581000
MCMC iteration = 6582000
MCMC iteration = 6583000
MCMC iteration = 6584000
MCMC iteration = 6585000
MCMC iteration = 6586000
MCMC iteration = 6587000
MCMC iteration = 6588000
MCMC iteration = 6589000
MCMC iteration = 6590000
MCMC iteration = 6591000
MCMC iteration = 6592000
MCMC iteration = 6593000
MCMC iteration = 6594000
MCMC iteration = 6595000
MCMC iteration = 6596000
MCMC iteration = 6597000
MCMC iteration = 6598000
MCMC iteration = 6599000
MCMC iteration = 6600000
MCMC iteration = 6601000
MCMC iteration = 6602000
MCMC iteration = 6603000
MCMC iteration = 6604000
MCMC iteration = 6605000
MCMC iteration = 6606000
MCMC iteration = 6607000
MCMC iteration = 6608000
MCMC iteration = 6609000
MCMC iteration = 6610000
MCMC iteration = 6611000
MCMC iteration = 6612000
MCMC iteration = 6613000
MCMC iteration = 6614000
MCMC iteration = 6615000
MCMC iteration = 6616000
MCMC iteration = 6617000
MCMC iteration = 6618000
MCMC iteration = 6619000
MCMC iteration = 6620000
MCMC iteration = 6621000
MCMC iteration = 6622000
MCMC iteration = 6623000
MCMC iteration = 6624000
MCMC iteration = 6625000
MCMC iteration = 6626000
MCMC iteration = 6627000
MCMC iteration = 6628000
MCMC iteration = 6629000
MCMC iteration = 6630000
MCMC iteration = 6631000
MCMC iteration = 6632000
MCMC iteration = 6633000
MCMC iteration = 6634000
MCMC iteration = 6635000
MCMC iteration = 6636000
MCMC iteration = 6637000
MCMC iteration = 6638000
MCMC iteration = 6639000
MCMC iteration = 6640000
MCMC iteration = 6641000
MCMC iteration = 6642000
MCMC iteration = 6643000
MCMC iteration = 6644000
MCMC iteration = 6645000
MCMC iteration = 6646000
MCMC iteration = 6647000
MCMC iteration = 6648000
MCMC iteration = 6649000
MCMC iteration = 6650000
MCMC iteration = 6651000
MCMC iteration = 6652000
MCMC iteration = 6653000
MCMC iteration = 6654000
MCMC iteration = 6655000
MCMC iteration = 6656000
MCMC iteration = 6657000
MCMC iteration = 6658000
MCMC iteration = 6659000
MCMC iteration = 6660000
MCMC iteration = 6661000
MCMC iteration = 6662000
MCMC iteration = 6663000
MCMC iteration = 6664000
MCMC iteration = 6665000
MCMC iteration = 6666000
MCMC iteration = 6667000
MCMC iteration = 6668000
MCMC iteration = 6669000
MCMC iteration = 6670000
MCMC iteration = 6671000
MCMC iteration = 6672000
MCMC iteration = 6673000
MCMC iteration = 6674000
MCMC iteration = 6675000
MCMC iteration = 6676000
MCMC iteration = 6677000
MCMC iteration = 6678000
MCMC iteration = 6679000
MCMC iteration = 6680000
MCMC iteration = 6681000
MCMC iteration = 6682000
MCMC iteration = 6683000
MCMC iteration = 6684000
MCMC iteration = 6685000
MCMC iteration = 6686000
MCMC iteration = 6687000
MCMC iteration = 6688000
MCMC iteration = 6689000
MCMC iteration = 6690000
MCMC iteration = 6691000
MCMC iteration = 6692000
MCMC iteration = 6693000
MCMC iteration = 6694000
MCMC iteration = 6695000
MCMC iteration = 6696000
MCMC iteration = 6697000
MCMC iteration = 6698000
MCMC iteration = 6699000
MCMC iteration = 6700000
MCMC iteration = 6701000
MCMC iteration = 6702000
MCMC iteration = 6703000
MCMC iteration = 6704000
MCMC iteration = 6705000
MCMC iteration = 6706000
MCMC iteration = 6707000
MCMC iteration = 6708000
MCMC iteration = 6709000
MCMC iteration = 6710000
MCMC iteration = 6711000
MCMC iteration = 6712000
MCMC iteration = 6713000
MCMC iteration = 6714000
MCMC iteration = 6715000
MCMC iteration = 6716000
MCMC iteration = 6717000
MCMC iteration = 6718000
MCMC iteration = 6719000
MCMC iteration = 6720000
MCMC iteration = 6721000
MCMC iteration = 6722000
MCMC iteration = 6723000
MCMC iteration = 6724000
MCMC iteration = 6725000
MCMC iteration = 6726000
MCMC iteration = 6727000
MCMC iteration = 6728000
MCMC iteration = 6729000
MCMC iteration = 6730000
MCMC iteration = 6731000
MCMC iteration = 6732000
MCMC iteration = 6733000
MCMC iteration = 6734000
MCMC iteration = 6735000
MCMC iteration = 6736000
MCMC iteration = 6737000
MCMC iteration = 6738000
MCMC iteration = 6739000
MCMC iteration = 6740000
MCMC iteration = 6741000
MCMC iteration = 6742000
MCMC iteration = 6743000
MCMC iteration = 6744000
MCMC iteration = 6745000
MCMC iteration = 6746000
MCMC iteration = 6747000
MCMC iteration = 6748000
MCMC iteration = 6749000
MCMC iteration = 6750000
MCMC iteration = 6751000
MCMC iteration = 6752000
MCMC iteration = 6753000
MCMC iteration = 6754000
MCMC iteration = 6755000
MCMC iteration = 6756000
MCMC iteration = 6757000
MCMC iteration = 6758000
MCMC iteration = 6759000
MCMC iteration = 6760000
MCMC iteration = 6761000
MCMC iteration = 6762000
MCMC iteration = 6763000
MCMC iteration = 6764000
MCMC iteration = 6765000
MCMC iteration = 6766000
MCMC iteration = 6767000
MCMC iteration = 6768000
MCMC iteration = 6769000
MCMC iteration = 6770000
MCMC iteration = 6771000
MCMC iteration = 6772000
MCMC iteration = 6773000
MCMC iteration = 6774000
MCMC iteration = 6775000
MCMC iteration = 6776000
MCMC iteration = 6777000
MCMC iteration = 6778000
MCMC iteration = 6779000
MCMC iteration = 6780000
MCMC iteration = 6781000
MCMC iteration = 6782000
MCMC iteration = 6783000
MCMC iteration = 6784000
MCMC iteration = 6785000
MCMC iteration = 6786000
MCMC iteration = 6787000
MCMC iteration = 6788000
MCMC iteration = 6789000
MCMC iteration = 6790000
MCMC iteration = 6791000
MCMC iteration = 6792000
MCMC iteration = 6793000
MCMC iteration = 6794000
MCMC iteration = 6795000
MCMC iteration = 6796000
MCMC iteration = 6797000
MCMC iteration = 6798000
MCMC iteration = 6799000
MCMC iteration = 6800000
MCMC iteration = 6801000
MCMC iteration = 6802000
MCMC iteration = 6803000
MCMC iteration = 6804000
MCMC iteration = 6805000
MCMC iteration = 6806000
MCMC iteration = 6807000
MCMC iteration = 6808000
MCMC iteration = 6809000
MCMC iteration = 6810000
MCMC iteration = 6811000
MCMC iteration = 6812000
MCMC iteration = 6813000
MCMC iteration = 6814000
MCMC iteration = 6815000
MCMC iteration = 6816000
MCMC iteration = 6817000
MCMC iteration = 6818000
MCMC iteration = 6819000
MCMC iteration = 6820000
MCMC iteration = 6821000
MCMC iteration = 6822000
MCMC iteration = 6823000
MCMC iteration = 6824000
MCMC iteration = 6825000
MCMC iteration = 6826000
MCMC iteration = 6827000
MCMC iteration = 6828000
MCMC iteration = 6829000
MCMC iteration = 6830000
MCMC iteration = 6831000
MCMC iteration = 6832000
MCMC iteration = 6833000
MCMC iteration = 6834000
MCMC iteration = 6835000
MCMC iteration = 6836000
MCMC iteration = 6837000
MCMC iteration = 6838000
MCMC iteration = 6839000
MCMC iteration = 6840000
MCMC iteration = 6841000
MCMC iteration = 6842000
MCMC iteration = 6843000
MCMC iteration = 6844000
MCMC iteration = 6845000
MCMC iteration = 6846000
MCMC iteration = 6847000
MCMC iteration = 6848000
MCMC iteration = 6849000
MCMC iteration = 6850000
MCMC iteration = 6851000
MCMC iteration = 6852000
MCMC iteration = 6853000
MCMC iteration = 6854000
MCMC iteration = 6855000
MCMC iteration = 6856000
MCMC iteration = 6857000
MCMC iteration = 6858000
MCMC iteration = 6859000
MCMC iteration = 6860000
MCMC iteration = 6861000
MCMC iteration = 6862000
MCMC iteration = 6863000
MCMC iteration = 6864000
MCMC iteration = 6865000
MCMC iteration = 6866000
MCMC iteration = 6867000
MCMC iteration = 6868000
MCMC iteration = 6869000
MCMC iteration = 6870000
MCMC iteration = 6871000
MCMC iteration = 6872000
MCMC iteration = 6873000
MCMC iteration = 6874000
MCMC iteration = 6875000
MCMC iteration = 6876000
MCMC iteration = 6877000
MCMC iteration = 6878000
MCMC iteration = 6879000
MCMC iteration = 6880000
MCMC iteration = 6881000
MCMC iteration = 6882000
MCMC iteration = 6883000
MCMC iteration = 6884000
MCMC iteration = 6885000
MCMC iteration = 6886000
MCMC iteration = 6887000
MCMC iteration = 6888000
MCMC iteration = 6889000
MCMC iteration = 6890000
MCMC iteration = 6891000
MCMC iteration = 6892000
MCMC iteration = 6893000
MCMC iteration = 6894000
MCMC iteration = 6895000
MCMC iteration = 6896000
MCMC iteration = 6897000
MCMC iteration = 6898000
MCMC iteration = 6899000
MCMC iteration = 6900000
MCMC iteration = 6901000
MCMC iteration = 6902000
MCMC iteration = 6903000
MCMC iteration = 6904000
MCMC iteration = 6905000
MCMC iteration = 6906000
MCMC iteration = 6907000
MCMC iteration = 6908000
MCMC iteration = 6909000
MCMC iteration = 6910000
MCMC iteration = 6911000
MCMC iteration = 6912000
MCMC iteration = 6913000
MCMC iteration = 6914000
MCMC iteration = 6915000
MCMC iteration = 6916000
MCMC iteration = 6917000
MCMC iteration = 6918000
MCMC iteration = 6919000
MCMC iteration = 6920000
MCMC iteration = 6921000
MCMC iteration = 6922000
MCMC iteration = 6923000
MCMC iteration = 6924000
MCMC iteration = 6925000
MCMC iteration = 6926000
MCMC iteration = 6927000
MCMC iteration = 6928000
MCMC iteration = 6929000
MCMC iteration = 6930000
MCMC iteration = 6931000
MCMC iteration = 6932000
MCMC iteration = 6933000
MCMC iteration = 6934000
MCMC iteration = 6935000
MCMC iteration = 6936000
MCMC iteration = 6937000
MCMC iteration = 6938000
MCMC iteration = 6939000
MCMC iteration = 6940000
MCMC iteration = 6941000
MCMC iteration = 6942000
MCMC iteration = 6943000
MCMC iteration = 6944000
MCMC iteration = 6945000
MCMC iteration = 6946000
MCMC iteration = 6947000
MCMC iteration = 6948000
MCMC iteration = 6949000
MCMC iteration = 6950000
MCMC iteration = 6951000
MCMC iteration = 6952000
MCMC iteration = 6953000
MCMC iteration = 6954000
MCMC iteration = 6955000
MCMC iteration = 6956000
MCMC iteration = 6957000
MCMC iteration = 6958000
MCMC iteration = 6959000
MCMC iteration = 6960000
MCMC iteration = 6961000
MCMC iteration = 6962000
MCMC iteration = 6963000
MCMC iteration = 6964000
MCMC iteration = 6965000
MCMC iteration = 6966000
MCMC iteration = 6967000
MCMC iteration = 6968000
MCMC iteration = 6969000
MCMC iteration = 6970000
MCMC iteration = 6971000
MCMC iteration = 6972000
MCMC iteration = 6973000
MCMC iteration = 6974000
MCMC iteration = 6975000
MCMC iteration = 6976000
MCMC iteration = 6977000
MCMC iteration = 6978000
MCMC iteration = 6979000
MCMC iteration = 6980000
MCMC iteration = 6981000
MCMC iteration = 6982000
MCMC iteration = 6983000
MCMC iteration = 6984000
MCMC iteration = 6985000
MCMC iteration = 6986000
MCMC iteration = 6987000
MCMC iteration = 6988000
MCMC iteration = 6989000
MCMC iteration = 6990000
MCMC iteration = 6991000
MCMC iteration = 6992000
MCMC iteration = 6993000
MCMC iteration = 6994000
MCMC iteration = 6995000
MCMC iteration = 6996000
MCMC iteration = 6997000
MCMC iteration = 6998000
MCMC iteration = 6999000
MCMC iteration = 7000000
MCMC iteration = 7001000
MCMC iteration = 7002000
MCMC iteration = 7003000
MCMC iteration = 7004000
MCMC iteration = 7005000
MCMC iteration = 7006000
MCMC iteration = 7007000
MCMC iteration = 7008000
MCMC iteration = 7009000
MCMC iteration = 7010000
MCMC iteration = 7011000
MCMC iteration = 7012000
MCMC iteration = 7013000
MCMC iteration = 7014000
MCMC iteration = 7015000
MCMC iteration = 7016000
MCMC iteration = 7017000
MCMC iteration = 7018000
MCMC iteration = 7019000
MCMC iteration = 7020000
MCMC iteration = 7021000
MCMC iteration = 7022000
MCMC iteration = 7023000
MCMC iteration = 7024000
MCMC iteration = 7025000
MCMC iteration = 7026000
MCMC iteration = 7027000
MCMC iteration = 7028000
MCMC iteration = 7029000
MCMC iteration = 7030000
MCMC iteration = 7031000
MCMC iteration = 7032000
MCMC iteration = 7033000
MCMC iteration = 7034000
MCMC iteration = 7035000
MCMC iteration = 7036000
MCMC iteration = 7037000
MCMC iteration = 7038000
MCMC iteration = 7039000
MCMC iteration = 7040000
MCMC iteration = 7041000
MCMC iteration = 7042000
MCMC iteration = 7043000
MCMC iteration = 7044000
MCMC iteration = 7045000
MCMC iteration = 7046000
MCMC iteration = 7047000
MCMC iteration = 7048000
MCMC iteration = 7049000
MCMC iteration = 7050000
MCMC iteration = 7051000
MCMC iteration = 7052000
MCMC iteration = 7053000
MCMC iteration = 7054000
MCMC iteration = 7055000
MCMC iteration = 7056000
MCMC iteration = 7057000
MCMC iteration = 7058000
MCMC iteration = 7059000
MCMC iteration = 7060000
MCMC iteration = 7061000
MCMC iteration = 7062000
MCMC iteration = 7063000
MCMC iteration = 7064000
MCMC iteration = 7065000
MCMC iteration = 7066000
MCMC iteration = 7067000
MCMC iteration = 7068000
MCMC iteration = 7069000
MCMC iteration = 7070000
MCMC iteration = 7071000
MCMC iteration = 7072000
MCMC iteration = 7073000
MCMC iteration = 7074000
MCMC iteration = 7075000
MCMC iteration = 7076000
MCMC iteration = 7077000
MCMC iteration = 7078000
MCMC iteration = 7079000
MCMC iteration = 7080000
MCMC iteration = 7081000
MCMC iteration = 7082000
MCMC iteration = 7083000
MCMC iteration = 7084000
MCMC iteration = 7085000
MCMC iteration = 7086000
MCMC iteration = 7087000
MCMC iteration = 7088000
MCMC iteration = 7089000
MCMC iteration = 7090000
MCMC iteration = 7091000
MCMC iteration = 7092000
MCMC iteration = 7093000
MCMC iteration = 7094000
MCMC iteration = 7095000
MCMC iteration = 7096000
MCMC iteration = 7097000
MCMC iteration = 7098000
MCMC iteration = 7099000
MCMC iteration = 7100000
MCMC iteration = 7101000
MCMC iteration = 7102000
MCMC iteration = 7103000
MCMC iteration = 7104000
MCMC iteration = 7105000
MCMC iteration = 7106000
MCMC iteration = 7107000
MCMC iteration = 7108000
MCMC iteration = 7109000
MCMC iteration = 7110000
MCMC iteration = 7111000
MCMC iteration = 7112000
MCMC iteration = 7113000
MCMC iteration = 7114000
MCMC iteration = 7115000
MCMC iteration = 7116000
MCMC iteration = 7117000
MCMC iteration = 7118000
MCMC iteration = 7119000
MCMC iteration = 7120000
MCMC iteration = 7121000
MCMC iteration = 7122000
MCMC iteration = 7123000
MCMC iteration = 7124000
MCMC iteration = 7125000
MCMC iteration = 7126000
MCMC iteration = 7127000
MCMC iteration = 7128000
MCMC iteration = 7129000
MCMC iteration = 7130000
MCMC iteration = 7131000
MCMC iteration = 7132000
MCMC iteration = 7133000
MCMC iteration = 7134000
MCMC iteration = 7135000
MCMC iteration = 7136000
MCMC iteration = 7137000
MCMC iteration = 7138000
MCMC iteration = 7139000
MCMC iteration = 7140000
MCMC iteration = 7141000
MCMC iteration = 7142000
MCMC iteration = 7143000
MCMC iteration = 7144000
MCMC iteration = 7145000
MCMC iteration = 7146000
MCMC iteration = 7147000
MCMC iteration = 7148000
MCMC iteration = 7149000
MCMC iteration = 7150000
MCMC iteration = 7151000
MCMC iteration = 7152000
MCMC iteration = 7153000
MCMC iteration = 7154000
MCMC iteration = 7155000
MCMC iteration = 7156000
MCMC iteration = 7157000
MCMC iteration = 7158000
MCMC iteration = 7159000
MCMC iteration = 7160000
MCMC iteration = 7161000
MCMC iteration = 7162000
MCMC iteration = 7163000
MCMC iteration = 7164000
MCMC iteration = 7165000
MCMC iteration = 7166000
MCMC iteration = 7167000
MCMC iteration = 7168000
MCMC iteration = 7169000
MCMC iteration = 7170000
MCMC iteration = 7171000
MCMC iteration = 7172000
MCMC iteration = 7173000
MCMC iteration = 7174000
MCMC iteration = 7175000
MCMC iteration = 7176000
MCMC iteration = 7177000
MCMC iteration = 7178000
MCMC iteration = 7179000
MCMC iteration = 7180000
MCMC iteration = 7181000
MCMC iteration = 7182000
MCMC iteration = 7183000
MCMC iteration = 7184000
MCMC iteration = 7185000
MCMC iteration = 7186000
MCMC iteration = 7187000
MCMC iteration = 7188000
MCMC iteration = 7189000
MCMC iteration = 7190000
MCMC iteration = 7191000
MCMC iteration = 7192000
MCMC iteration = 7193000
MCMC iteration = 7194000
MCMC iteration = 7195000
MCMC iteration = 7196000
MCMC iteration = 7197000
MCMC iteration = 7198000
MCMC iteration = 7199000
MCMC iteration = 7200000
MCMC iteration = 7201000
MCMC iteration = 7202000
MCMC iteration = 7203000
MCMC iteration = 7204000
MCMC iteration = 7205000
MCMC iteration = 7206000
MCMC iteration = 7207000
MCMC iteration = 7208000
MCMC iteration = 7209000
MCMC iteration = 7210000
MCMC iteration = 7211000
MCMC iteration = 7212000
MCMC iteration = 7213000
MCMC iteration = 7214000
MCMC iteration = 7215000
MCMC iteration = 7216000
MCMC iteration = 7217000
MCMC iteration = 7218000
MCMC iteration = 7219000
MCMC iteration = 7220000
MCMC iteration = 7221000
MCMC iteration = 7222000
MCMC iteration = 7223000
MCMC iteration = 7224000
MCMC iteration = 7225000
MCMC iteration = 7226000
MCMC iteration = 7227000
MCMC iteration = 7228000
MCMC iteration = 7229000
MCMC iteration = 7230000
MCMC iteration = 7231000
MCMC iteration = 7232000
MCMC iteration = 7233000
MCMC iteration = 7234000
MCMC iteration = 7235000
MCMC iteration = 7236000
MCMC iteration = 7237000
MCMC iteration = 7238000
MCMC iteration = 7239000
MCMC iteration = 7240000
MCMC iteration = 7241000
MCMC iteration = 7242000
MCMC iteration = 7243000
MCMC iteration = 7244000
MCMC iteration = 7245000
MCMC iteration = 7246000
MCMC iteration = 7247000
MCMC iteration = 7248000
MCMC iteration = 7249000
MCMC iteration = 7250000
MCMC iteration = 7251000
MCMC iteration = 7252000
MCMC iteration = 7253000
MCMC iteration = 7254000
MCMC iteration = 7255000
MCMC iteration = 7256000
MCMC iteration = 7257000
MCMC iteration = 7258000
MCMC iteration = 7259000
MCMC iteration = 7260000
MCMC iteration = 7261000
MCMC iteration = 7262000
MCMC iteration = 7263000
MCMC iteration = 7264000
MCMC iteration = 7265000
MCMC iteration = 7266000
MCMC iteration = 7267000
MCMC iteration = 7268000
MCMC iteration = 7269000
MCMC iteration = 7270000
MCMC iteration = 7271000
MCMC iteration = 7272000
MCMC iteration = 7273000
MCMC iteration = 7274000
MCMC iteration = 7275000
MCMC iteration = 7276000
MCMC iteration = 7277000
MCMC iteration = 7278000
MCMC iteration = 7279000
MCMC iteration = 7280000
MCMC iteration = 7281000
MCMC iteration = 7282000
MCMC iteration = 7283000
MCMC iteration = 7284000
MCMC iteration = 7285000
MCMC iteration = 7286000
MCMC iteration = 7287000
MCMC iteration = 7288000
MCMC iteration = 7289000
MCMC iteration = 7290000
MCMC iteration = 7291000
MCMC iteration = 7292000
MCMC iteration = 7293000
MCMC iteration = 7294000
MCMC iteration = 7295000
MCMC iteration = 7296000
MCMC iteration = 7297000
MCMC iteration = 7298000
MCMC iteration = 7299000
MCMC iteration = 7300000
MCMC iteration = 7301000
MCMC iteration = 7302000
MCMC iteration = 7303000
MCMC iteration = 7304000
MCMC iteration = 7305000
MCMC iteration = 7306000
MCMC iteration = 7307000
MCMC iteration = 7308000
MCMC iteration = 7309000
MCMC iteration = 7310000
MCMC iteration = 7311000
MCMC iteration = 7312000
MCMC iteration = 7313000
MCMC iteration = 7314000
MCMC iteration = 7315000
MCMC iteration = 7316000
MCMC iteration = 7317000
MCMC iteration = 7318000
MCMC iteration = 7319000
MCMC iteration = 7320000
MCMC iteration = 7321000
MCMC iteration = 7322000
MCMC iteration = 7323000
MCMC iteration = 7324000
MCMC iteration = 7325000
MCMC iteration = 7326000
MCMC iteration = 7327000
MCMC iteration = 7328000
MCMC iteration = 7329000
MCMC iteration = 7330000
MCMC iteration = 7331000
MCMC iteration = 7332000
MCMC iteration = 7333000
MCMC iteration = 7334000
MCMC iteration = 7335000
MCMC iteration = 7336000
MCMC iteration = 7337000
MCMC iteration = 7338000
MCMC iteration = 7339000
MCMC iteration = 7340000
MCMC iteration = 7341000
MCMC iteration = 7342000
MCMC iteration = 7343000
MCMC iteration = 7344000
MCMC iteration = 7345000
MCMC iteration = 7346000
MCMC iteration = 7347000
MCMC iteration = 7348000
MCMC iteration = 7349000
MCMC iteration = 7350000
MCMC iteration = 7351000
MCMC iteration = 7352000
MCMC iteration = 7353000
MCMC iteration = 7354000
MCMC iteration = 7355000
MCMC iteration = 7356000
MCMC iteration = 7357000
MCMC iteration = 7358000
MCMC iteration = 7359000
MCMC iteration = 7360000
MCMC iteration = 7361000
MCMC iteration = 7362000
MCMC iteration = 7363000
MCMC iteration = 7364000
MCMC iteration = 7365000
MCMC iteration = 7366000
MCMC iteration = 7367000
MCMC iteration = 7368000
MCMC iteration = 7369000
MCMC iteration = 7370000
MCMC iteration = 7371000
MCMC iteration = 7372000
MCMC iteration = 7373000
MCMC iteration = 7374000
MCMC iteration = 7375000
MCMC iteration = 7376000
MCMC iteration = 7377000
MCMC iteration = 7378000
MCMC iteration = 7379000
MCMC iteration = 7380000
MCMC iteration = 7381000
MCMC iteration = 7382000
MCMC iteration = 7383000
MCMC iteration = 7384000
MCMC iteration = 7385000
MCMC iteration = 7386000
MCMC iteration = 7387000
MCMC iteration = 7388000
MCMC iteration = 7389000
MCMC iteration = 7390000
MCMC iteration = 7391000
MCMC iteration = 7392000
MCMC iteration = 7393000
MCMC iteration = 7394000
MCMC iteration = 7395000
MCMC iteration = 7396000
MCMC iteration = 7397000
MCMC iteration = 7398000
MCMC iteration = 7399000
MCMC iteration = 7400000
MCMC iteration = 7401000
MCMC iteration = 7402000
MCMC iteration = 7403000
MCMC iteration = 7404000
MCMC iteration = 7405000
MCMC iteration = 7406000
MCMC iteration = 7407000
MCMC iteration = 7408000
MCMC iteration = 7409000
MCMC iteration = 7410000
MCMC iteration = 7411000
MCMC iteration = 7412000
MCMC iteration = 7413000
MCMC iteration = 7414000
MCMC iteration = 7415000
MCMC iteration = 7416000
MCMC iteration = 7417000
MCMC iteration = 7418000
MCMC iteration = 7419000
MCMC iteration = 7420000
MCMC iteration = 7421000
MCMC iteration = 7422000
MCMC iteration = 7423000
MCMC iteration = 7424000
MCMC iteration = 7425000
MCMC iteration = 7426000
MCMC iteration = 7427000
MCMC iteration = 7428000
MCMC iteration = 7429000
MCMC iteration = 7430000
MCMC iteration = 7431000
MCMC iteration = 7432000
MCMC iteration = 7433000
MCMC iteration = 7434000
MCMC iteration = 7435000
MCMC iteration = 7436000
MCMC iteration = 7437000
MCMC iteration = 7438000
MCMC iteration = 7439000
MCMC iteration = 7440000
MCMC iteration = 7441000
MCMC iteration = 7442000
MCMC iteration = 7443000
MCMC iteration = 7444000
MCMC iteration = 7445000
MCMC iteration = 7446000
MCMC iteration = 7447000
MCMC iteration = 7448000
MCMC iteration = 7449000
MCMC iteration = 7450000
MCMC iteration = 7451000
MCMC iteration = 7452000
MCMC iteration = 7453000
MCMC iteration = 7454000
MCMC iteration = 7455000
MCMC iteration = 7456000
MCMC iteration = 7457000
MCMC iteration = 7458000
MCMC iteration = 7459000
MCMC iteration = 7460000
MCMC iteration = 7461000
MCMC iteration = 7462000
MCMC iteration = 7463000
MCMC iteration = 7464000
MCMC iteration = 7465000
MCMC iteration = 7466000
MCMC iteration = 7467000
MCMC iteration = 7468000
MCMC iteration = 7469000
MCMC iteration = 7470000
MCMC iteration = 7471000
MCMC iteration = 7472000
MCMC iteration = 7473000
MCMC iteration = 7474000
MCMC iteration = 7475000
MCMC iteration = 7476000
MCMC iteration = 7477000
MCMC iteration = 7478000
MCMC iteration = 7479000
MCMC iteration = 7480000
MCMC iteration = 7481000
MCMC iteration = 7482000
MCMC iteration = 7483000
MCMC iteration = 7484000
MCMC iteration = 7485000
MCMC iteration = 7486000
MCMC iteration = 7487000
MCMC iteration = 7488000
MCMC iteration = 7489000
MCMC iteration = 7490000
MCMC iteration = 7491000
MCMC iteration = 7492000
MCMC iteration = 7493000
MCMC iteration = 7494000
MCMC iteration = 7495000
MCMC iteration = 7496000
MCMC iteration = 7497000
MCMC iteration = 7498000
MCMC iteration = 7499000
MCMC iteration = 7500000
MCMC iteration = 7501000
MCMC iteration = 7502000
MCMC iteration = 7503000
MCMC iteration = 7504000
MCMC iteration = 7505000
MCMC iteration = 7506000
MCMC iteration = 7507000
MCMC iteration = 7508000
MCMC iteration = 7509000
MCMC iteration = 7510000
MCMC iteration = 7511000
MCMC iteration = 7512000
MCMC iteration = 7513000
MCMC iteration = 7514000
MCMC iteration = 7515000
MCMC iteration = 7516000
MCMC iteration = 7517000
MCMC iteration = 7518000
MCMC iteration = 7519000
MCMC iteration = 7520000
MCMC iteration = 7521000
MCMC iteration = 7522000
MCMC iteration = 7523000
MCMC iteration = 7524000
MCMC iteration = 7525000
MCMC iteration = 7526000
MCMC iteration = 7527000
MCMC iteration = 7528000
MCMC iteration = 7529000
MCMC iteration = 7530000
MCMC iteration = 7531000
MCMC iteration = 7532000
MCMC iteration = 7533000
MCMC iteration = 7534000
MCMC iteration = 7535000
MCMC iteration = 7536000
MCMC iteration = 7537000
MCMC iteration = 7538000
MCMC iteration = 7539000
MCMC iteration = 7540000
MCMC iteration = 7541000
MCMC iteration = 7542000
MCMC iteration = 7543000
MCMC iteration = 7544000
MCMC iteration = 7545000
MCMC iteration = 7546000
MCMC iteration = 7547000
MCMC iteration = 7548000
MCMC iteration = 7549000
MCMC iteration = 7550000
MCMC iteration = 7551000
MCMC iteration = 7552000
MCMC iteration = 7553000
MCMC iteration = 7554000
MCMC iteration = 7555000
MCMC iteration = 7556000
MCMC iteration = 7557000
MCMC iteration = 7558000
MCMC iteration = 7559000
MCMC iteration = 7560000
MCMC iteration = 7561000
MCMC iteration = 7562000
MCMC iteration = 7563000
MCMC iteration = 7564000
MCMC iteration = 7565000
MCMC iteration = 7566000
MCMC iteration = 7567000
MCMC iteration = 7568000
MCMC iteration = 7569000
MCMC iteration = 7570000
MCMC iteration = 7571000
MCMC iteration = 7572000
MCMC iteration = 7573000
MCMC iteration = 7574000
MCMC iteration = 7575000
MCMC iteration = 7576000
MCMC iteration = 7577000
MCMC iteration = 7578000
MCMC iteration = 7579000
MCMC iteration = 7580000
MCMC iteration = 7581000
MCMC iteration = 7582000
MCMC iteration = 7583000
MCMC iteration = 7584000
MCMC iteration = 7585000
MCMC iteration = 7586000
MCMC iteration = 7587000
MCMC iteration = 7588000
MCMC iteration = 7589000
MCMC iteration = 7590000
MCMC iteration = 7591000
MCMC iteration = 7592000
MCMC iteration = 7593000
MCMC iteration = 7594000
MCMC iteration = 7595000
MCMC iteration = 7596000
MCMC iteration = 7597000
MCMC iteration = 7598000
MCMC iteration = 7599000
MCMC iteration = 7600000
MCMC iteration = 7601000
MCMC iteration = 7602000
MCMC iteration = 7603000
MCMC iteration = 7604000
MCMC iteration = 7605000
MCMC iteration = 7606000
MCMC iteration = 7607000
MCMC iteration = 7608000
MCMC iteration = 7609000
MCMC iteration = 7610000
MCMC iteration = 7611000
MCMC iteration = 7612000
MCMC iteration = 7613000
MCMC iteration = 7614000
MCMC iteration = 7615000
MCMC iteration = 7616000
MCMC iteration = 7617000
MCMC iteration = 7618000
MCMC iteration = 7619000
MCMC iteration = 7620000
MCMC iteration = 7621000
MCMC iteration = 7622000
MCMC iteration = 7623000
MCMC iteration = 7624000
MCMC iteration = 7625000
MCMC iteration = 7626000
MCMC iteration = 7627000
MCMC iteration = 7628000
MCMC iteration = 7629000
MCMC iteration = 7630000
MCMC iteration = 7631000
MCMC iteration = 7632000
MCMC iteration = 7633000
MCMC iteration = 7634000
MCMC iteration = 7635000
MCMC iteration = 7636000
MCMC iteration = 7637000
MCMC iteration = 7638000
MCMC iteration = 7639000
MCMC iteration = 7640000
MCMC iteration = 7641000
MCMC iteration = 7642000
MCMC iteration = 7643000
MCMC iteration = 7644000
MCMC iteration = 7645000
MCMC iteration = 7646000
MCMC iteration = 7647000
MCMC iteration = 7648000
MCMC iteration = 7649000
MCMC iteration = 7650000
MCMC iteration = 7651000
MCMC iteration = 7652000
MCMC iteration = 7653000
MCMC iteration = 7654000
MCMC iteration = 7655000
MCMC iteration = 7656000
MCMC iteration = 7657000
MCMC iteration = 7658000
MCMC iteration = 7659000
MCMC iteration = 7660000
MCMC iteration = 7661000
MCMC iteration = 7662000
MCMC iteration = 7663000
MCMC iteration = 7664000
MCMC iteration = 7665000
MCMC iteration = 7666000
MCMC iteration = 7667000
MCMC iteration = 7668000
MCMC iteration = 7669000
MCMC iteration = 7670000
MCMC iteration = 7671000
MCMC iteration = 7672000
MCMC iteration = 7673000
MCMC iteration = 7674000
MCMC iteration = 7675000
MCMC iteration = 7676000
MCMC iteration = 7677000
MCMC iteration = 7678000
MCMC iteration = 7679000
MCMC iteration = 7680000
MCMC iteration = 7681000
MCMC iteration = 7682000
MCMC iteration = 7683000
MCMC iteration = 7684000
MCMC iteration = 7685000
MCMC iteration = 7686000
MCMC iteration = 7687000
MCMC iteration = 7688000
MCMC iteration = 7689000
MCMC iteration = 7690000
MCMC iteration = 7691000
MCMC iteration = 7692000
MCMC iteration = 7693000
MCMC iteration = 7694000
MCMC iteration = 7695000
MCMC iteration = 7696000
MCMC iteration = 7697000
MCMC iteration = 7698000
MCMC iteration = 7699000
MCMC iteration = 7700000
MCMC iteration = 7701000
MCMC iteration = 7702000
MCMC iteration = 7703000
MCMC iteration = 7704000
MCMC iteration = 7705000
MCMC iteration = 7706000
MCMC iteration = 7707000
MCMC iteration = 7708000
MCMC iteration = 7709000
MCMC iteration = 7710000
MCMC iteration = 7711000
MCMC iteration = 7712000
MCMC iteration = 7713000
MCMC iteration = 7714000
MCMC iteration = 7715000
MCMC iteration = 7716000
MCMC iteration = 7717000
MCMC iteration = 7718000
MCMC iteration = 7719000
MCMC iteration = 7720000
MCMC iteration = 7721000
MCMC iteration = 7722000
MCMC iteration = 7723000
MCMC iteration = 7724000
MCMC iteration = 7725000
MCMC iteration = 7726000
MCMC iteration = 7727000
MCMC iteration = 7728000
MCMC iteration = 7729000
MCMC iteration = 7730000
MCMC iteration = 7731000
MCMC iteration = 7732000
MCMC iteration = 7733000
MCMC iteration = 7734000
MCMC iteration = 7735000
MCMC iteration = 7736000
MCMC iteration = 7737000
MCMC iteration = 7738000
MCMC iteration = 7739000
MCMC iteration = 7740000
MCMC iteration = 7741000
MCMC iteration = 7742000
MCMC iteration = 7743000
MCMC iteration = 7744000
MCMC iteration = 7745000
MCMC iteration = 7746000
MCMC iteration = 7747000
MCMC iteration = 7748000
MCMC iteration = 7749000
MCMC iteration = 7750000
MCMC iteration = 7751000
MCMC iteration = 7752000
MCMC iteration = 7753000
MCMC iteration = 7754000
MCMC iteration = 7755000
MCMC iteration = 7756000
MCMC iteration = 7757000
MCMC iteration = 7758000
MCMC iteration = 7759000
MCMC iteration = 7760000
MCMC iteration = 7761000
MCMC iteration = 7762000
MCMC iteration = 7763000
MCMC iteration = 7764000
MCMC iteration = 7765000
MCMC iteration = 7766000
MCMC iteration = 7767000
MCMC iteration = 7768000
MCMC iteration = 7769000
MCMC iteration = 7770000
MCMC iteration = 7771000
MCMC iteration = 7772000
MCMC iteration = 7773000
MCMC iteration = 7774000
MCMC iteration = 7775000
MCMC iteration = 7776000
MCMC iteration = 7777000
MCMC iteration = 7778000
MCMC iteration = 7779000
MCMC iteration = 7780000
MCMC iteration = 7781000
MCMC iteration = 7782000
MCMC iteration = 7783000
MCMC iteration = 7784000
MCMC iteration = 7785000
MCMC iteration = 7786000
MCMC iteration = 7787000
MCMC iteration = 7788000
MCMC iteration = 7789000
MCMC iteration = 7790000
MCMC iteration = 7791000
MCMC iteration = 7792000
MCMC iteration = 7793000
MCMC iteration = 7794000
MCMC iteration = 7795000
MCMC iteration = 7796000
MCMC iteration = 7797000
MCMC iteration = 7798000
MCMC iteration = 7799000
MCMC iteration = 7800000
MCMC iteration = 7801000
MCMC iteration = 7802000
MCMC iteration = 7803000
MCMC iteration = 7804000
MCMC iteration = 7805000
MCMC iteration = 7806000
MCMC iteration = 7807000
MCMC iteration = 7808000
MCMC iteration = 7809000
MCMC iteration = 7810000
MCMC iteration = 7811000
MCMC iteration = 7812000
MCMC iteration = 7813000
MCMC iteration = 7814000
MCMC iteration = 7815000
MCMC iteration = 7816000
MCMC iteration = 7817000
MCMC iteration = 7818000
MCMC iteration = 7819000
MCMC iteration = 7820000
MCMC iteration = 7821000
MCMC iteration = 7822000
MCMC iteration = 7823000
MCMC iteration = 7824000
MCMC iteration = 7825000
MCMC iteration = 7826000
MCMC iteration = 7827000
MCMC iteration = 7828000
MCMC iteration = 7829000
MCMC iteration = 7830000
MCMC iteration = 7831000
MCMC iteration = 7832000
MCMC iteration = 7833000
MCMC iteration = 7834000
MCMC iteration = 7835000
MCMC iteration = 7836000
MCMC iteration = 7837000
MCMC iteration = 7838000
MCMC iteration = 7839000
MCMC iteration = 7840000
MCMC iteration = 7841000
MCMC iteration = 7842000
MCMC iteration = 7843000
MCMC iteration = 7844000
MCMC iteration = 7845000
MCMC iteration = 7846000
MCMC iteration = 7847000
MCMC iteration = 7848000
MCMC iteration = 7849000
MCMC iteration = 7850000
MCMC iteration = 7851000
MCMC iteration = 7852000
MCMC iteration = 7853000
MCMC iteration = 7854000
MCMC iteration = 7855000
MCMC iteration = 7856000
MCMC iteration = 7857000
MCMC iteration = 7858000
MCMC iteration = 7859000
MCMC iteration = 7860000
MCMC iteration = 7861000
MCMC iteration = 7862000
MCMC iteration = 7863000
MCMC iteration = 7864000
MCMC iteration = 7865000
MCMC iteration = 7866000
MCMC iteration = 7867000
MCMC iteration = 7868000
MCMC iteration = 7869000
MCMC iteration = 7870000
MCMC iteration = 7871000
MCMC iteration = 7872000
MCMC iteration = 7873000
MCMC iteration = 7874000
MCMC iteration = 7875000
MCMC iteration = 7876000
MCMC iteration = 7877000
MCMC iteration = 7878000
MCMC iteration = 7879000
MCMC iteration = 7880000
MCMC iteration = 7881000
MCMC iteration = 7882000
MCMC iteration = 7883000
MCMC iteration = 7884000
MCMC iteration = 7885000
MCMC iteration = 7886000
MCMC iteration = 7887000
MCMC iteration = 7888000
MCMC iteration = 7889000
MCMC iteration = 7890000
MCMC iteration = 7891000
MCMC iteration = 7892000
MCMC iteration = 7893000
MCMC iteration = 7894000
MCMC iteration = 7895000
MCMC iteration = 7896000
MCMC iteration = 7897000
MCMC iteration = 7898000
MCMC iteration = 7899000
MCMC iteration = 7900000
MCMC iteration = 7901000
MCMC iteration = 7902000
MCMC iteration = 7903000
MCMC iteration = 7904000
MCMC iteration = 7905000
MCMC iteration = 7906000
MCMC iteration = 7907000
MCMC iteration = 7908000
MCMC iteration = 7909000
MCMC iteration = 7910000
MCMC iteration = 7911000
MCMC iteration = 7912000
MCMC iteration = 7913000
MCMC iteration = 7914000
MCMC iteration = 7915000
MCMC iteration = 7916000
MCMC iteration = 7917000
MCMC iteration = 7918000
MCMC iteration = 7919000
MCMC iteration = 7920000
MCMC iteration = 7921000
MCMC iteration = 7922000
MCMC iteration = 7923000
MCMC iteration = 7924000
MCMC iteration = 7925000
MCMC iteration = 7926000
MCMC iteration = 7927000
MCMC iteration = 7928000
MCMC iteration = 7929000
MCMC iteration = 7930000
MCMC iteration = 7931000
MCMC iteration = 7932000
MCMC iteration = 7933000
MCMC iteration = 7934000
MCMC iteration = 7935000
MCMC iteration = 7936000
MCMC iteration = 7937000
MCMC iteration = 7938000
MCMC iteration = 7939000
MCMC iteration = 7940000
MCMC iteration = 7941000
MCMC iteration = 7942000
MCMC iteration = 7943000
MCMC iteration = 7944000
MCMC iteration = 7945000
MCMC iteration = 7946000
MCMC iteration = 7947000
MCMC iteration = 7948000
MCMC iteration = 7949000
MCMC iteration = 7950000
MCMC iteration = 7951000
MCMC iteration = 7952000
MCMC iteration = 7953000
MCMC iteration = 7954000
MCMC iteration = 7955000
MCMC iteration = 7956000
MCMC iteration = 7957000
MCMC iteration = 7958000
MCMC iteration = 7959000
MCMC iteration = 7960000
MCMC iteration = 7961000
MCMC iteration = 7962000
MCMC iteration = 7963000
MCMC iteration = 7964000
MCMC iteration = 7965000
MCMC iteration = 7966000
MCMC iteration = 7967000
MCMC iteration = 7968000
MCMC iteration = 7969000
MCMC iteration = 7970000
MCMC iteration = 7971000
MCMC iteration = 7972000
MCMC iteration = 7973000
MCMC iteration = 7974000
MCMC iteration = 7975000
MCMC iteration = 7976000
MCMC iteration = 7977000
MCMC iteration = 7978000
MCMC iteration = 7979000
MCMC iteration = 7980000
MCMC iteration = 7981000
MCMC iteration = 7982000
MCMC iteration = 7983000
MCMC iteration = 7984000
MCMC iteration = 7985000
MCMC iteration = 7986000
MCMC iteration = 7987000
MCMC iteration = 7988000
MCMC iteration = 7989000
MCMC iteration = 7990000
MCMC iteration = 7991000
MCMC iteration = 7992000
MCMC iteration = 7993000
MCMC iteration = 7994000
MCMC iteration = 7995000
MCMC iteration = 7996000
MCMC iteration = 7997000
MCMC iteration = 7998000
MCMC iteration = 7999000
MCMC iteration = 8000000
MCMC iteration = 8001000
MCMC iteration = 8002000
MCMC iteration = 8003000
MCMC iteration = 8004000
MCMC iteration = 8005000
MCMC iteration = 8006000
MCMC iteration = 8007000
MCMC iteration = 8008000
MCMC iteration = 8009000
MCMC iteration = 8010000
MCMC iteration = 8011000
MCMC iteration = 8012000
MCMC iteration = 8013000
MCMC iteration = 8014000
MCMC iteration = 8015000
MCMC iteration = 8016000
MCMC iteration = 8017000
MCMC iteration = 8018000
MCMC iteration = 8019000
MCMC iteration = 8020000
MCMC iteration = 8021000
MCMC iteration = 8022000
MCMC iteration = 8023000
MCMC iteration = 8024000
MCMC iteration = 8025000
MCMC iteration = 8026000
MCMC iteration = 8027000
MCMC iteration = 8028000
MCMC iteration = 8029000
MCMC iteration = 8030000
MCMC iteration = 8031000
MCMC iteration = 8032000
MCMC iteration = 8033000
MCMC iteration = 8034000
MCMC iteration = 8035000
MCMC iteration = 8036000
MCMC iteration = 8037000
MCMC iteration = 8038000
MCMC iteration = 8039000
MCMC iteration = 8040000
MCMC iteration = 8041000
MCMC iteration = 8042000
MCMC iteration = 8043000
MCMC iteration = 8044000
MCMC iteration = 8045000
MCMC iteration = 8046000
MCMC iteration = 8047000
MCMC iteration = 8048000
MCMC iteration = 8049000
MCMC iteration = 8050000
MCMC iteration = 8051000
MCMC iteration = 8052000
MCMC iteration = 8053000
MCMC iteration = 8054000
MCMC iteration = 8055000
MCMC iteration = 8056000
MCMC iteration = 8057000
MCMC iteration = 8058000
MCMC iteration = 8059000
MCMC iteration = 8060000
MCMC iteration = 8061000
MCMC iteration = 8062000
MCMC iteration = 8063000
MCMC iteration = 8064000
MCMC iteration = 8065000
MCMC iteration = 8066000
MCMC iteration = 8067000
MCMC iteration = 8068000
MCMC iteration = 8069000
MCMC iteration = 8070000
MCMC iteration = 8071000
MCMC iteration = 8072000
MCMC iteration = 8073000
MCMC iteration = 8074000
MCMC iteration = 8075000
MCMC iteration = 8076000
MCMC iteration = 8077000
MCMC iteration = 8078000
MCMC iteration = 8079000
MCMC iteration = 8080000
MCMC iteration = 8081000
MCMC iteration = 8082000
MCMC iteration = 8083000
MCMC iteration = 8084000
MCMC iteration = 8085000
MCMC iteration = 8086000
MCMC iteration = 8087000
MCMC iteration = 8088000
MCMC iteration = 8089000
MCMC iteration = 8090000
MCMC iteration = 8091000
MCMC iteration = 8092000
MCMC iteration = 8093000
MCMC iteration = 8094000
MCMC iteration = 8095000
MCMC iteration = 8096000
MCMC iteration = 8097000
MCMC iteration = 8098000
MCMC iteration = 8099000
MCMC iteration = 8100000
MCMC iteration = 8101000
MCMC iteration = 8102000
MCMC iteration = 8103000
MCMC iteration = 8104000
MCMC iteration = 8105000
MCMC iteration = 8106000
MCMC iteration = 8107000
MCMC iteration = 8108000
MCMC iteration = 8109000
MCMC iteration = 8110000
MCMC iteration = 8111000
MCMC iteration = 8112000
MCMC iteration = 8113000
MCMC iteration = 8114000
MCMC iteration = 8115000
MCMC iteration = 8116000
MCMC iteration = 8117000
MCMC iteration = 8118000
MCMC iteration = 8119000
MCMC iteration = 8120000
MCMC iteration = 8121000
MCMC iteration = 8122000
MCMC iteration = 8123000
MCMC iteration = 8124000
MCMC iteration = 8125000
MCMC iteration = 8126000
MCMC iteration = 8127000
MCMC iteration = 8128000
MCMC iteration = 8129000
MCMC iteration = 8130000
MCMC iteration = 8131000
MCMC iteration = 8132000
MCMC iteration = 8133000
MCMC iteration = 8134000
MCMC iteration = 8135000
MCMC iteration = 8136000
MCMC iteration = 8137000
MCMC iteration = 8138000
MCMC iteration = 8139000
MCMC iteration = 8140000
MCMC iteration = 8141000
MCMC iteration = 8142000
MCMC iteration = 8143000
MCMC iteration = 8144000
MCMC iteration = 8145000
MCMC iteration = 8146000
MCMC iteration = 8147000
MCMC iteration = 8148000
MCMC iteration = 8149000
MCMC iteration = 8150000
MCMC iteration = 8151000
MCMC iteration = 8152000
MCMC iteration = 8153000
MCMC iteration = 8154000
MCMC iteration = 8155000
MCMC iteration = 8156000
MCMC iteration = 8157000
MCMC iteration = 8158000
MCMC iteration = 8159000
MCMC iteration = 8160000
MCMC iteration = 8161000
MCMC iteration = 8162000
MCMC iteration = 8163000
MCMC iteration = 8164000
MCMC iteration = 8165000
MCMC iteration = 8166000
MCMC iteration = 8167000
MCMC iteration = 8168000
MCMC iteration = 8169000
MCMC iteration = 8170000
MCMC iteration = 8171000
MCMC iteration = 8172000
MCMC iteration = 8173000
MCMC iteration = 8174000
MCMC iteration = 8175000
MCMC iteration = 8176000
MCMC iteration = 8177000
MCMC iteration = 8178000
MCMC iteration = 8179000
MCMC iteration = 8180000
MCMC iteration = 8181000
MCMC iteration = 8182000
MCMC iteration = 8183000
MCMC iteration = 8184000
MCMC iteration = 8185000
MCMC iteration = 8186000
MCMC iteration = 8187000
MCMC iteration = 8188000
MCMC iteration = 8189000
MCMC iteration = 8190000
MCMC iteration = 8191000
MCMC iteration = 8192000
MCMC iteration = 8193000
MCMC iteration = 8194000
MCMC iteration = 8195000
MCMC iteration = 8196000
MCMC iteration = 8197000
MCMC iteration = 8198000
MCMC iteration = 8199000
MCMC iteration = 8200000
MCMC iteration = 8201000
MCMC iteration = 8202000
MCMC iteration = 8203000
MCMC iteration = 8204000
MCMC iteration = 8205000
MCMC iteration = 8206000
MCMC iteration = 8207000
MCMC iteration = 8208000
MCMC iteration = 8209000
MCMC iteration = 8210000
MCMC iteration = 8211000
MCMC iteration = 8212000
MCMC iteration = 8213000
MCMC iteration = 8214000
MCMC iteration = 8215000
MCMC iteration = 8216000
MCMC iteration = 8217000
MCMC iteration = 8218000
MCMC iteration = 8219000
MCMC iteration = 8220000
MCMC iteration = 8221000
MCMC iteration = 8222000
MCMC iteration = 8223000
MCMC iteration = 8224000
MCMC iteration = 8225000
MCMC iteration = 8226000
MCMC iteration = 8227000
MCMC iteration = 8228000
MCMC iteration = 8229000
MCMC iteration = 8230000
MCMC iteration = 8231000
MCMC iteration = 8232000
MCMC iteration = 8233000
MCMC iteration = 8234000
MCMC iteration = 8235000
MCMC iteration = 8236000
MCMC iteration = 8237000
MCMC iteration = 8238000
MCMC iteration = 8239000
MCMC iteration = 8240000
MCMC iteration = 8241000
MCMC iteration = 8242000
MCMC iteration = 8243000
MCMC iteration = 8244000
MCMC iteration = 8245000
MCMC iteration = 8246000
MCMC iteration = 8247000
MCMC iteration = 8248000
MCMC iteration = 8249000
MCMC iteration = 8250000
MCMC iteration = 8251000
MCMC iteration = 8252000
MCMC iteration = 8253000
MCMC iteration = 8254000
MCMC iteration = 8255000
MCMC iteration = 8256000
MCMC iteration = 8257000
MCMC iteration = 8258000
MCMC iteration = 8259000
MCMC iteration = 8260000
MCMC iteration = 8261000
MCMC iteration = 8262000
MCMC iteration = 8263000
MCMC iteration = 8264000
MCMC iteration = 8265000
MCMC iteration = 8266000
MCMC iteration = 8267000
MCMC iteration = 8268000
MCMC iteration = 8269000
MCMC iteration = 8270000
MCMC iteration = 8271000
MCMC iteration = 8272000
MCMC iteration = 8273000
MCMC iteration = 8274000
MCMC iteration = 8275000
MCMC iteration = 8276000
MCMC iteration = 8277000
MCMC iteration = 8278000
MCMC iteration = 8279000
MCMC iteration = 8280000
MCMC iteration = 8281000
MCMC iteration = 8282000
MCMC iteration = 8283000
MCMC iteration = 8284000
MCMC iteration = 8285000
MCMC iteration = 8286000
MCMC iteration = 8287000
MCMC iteration = 8288000
MCMC iteration = 8289000
MCMC iteration = 8290000
MCMC iteration = 8291000
MCMC iteration = 8292000
MCMC iteration = 8293000
MCMC iteration = 8294000
MCMC iteration = 8295000
MCMC iteration = 8296000
MCMC iteration = 8297000
MCMC iteration = 8298000
MCMC iteration = 8299000
MCMC iteration = 8300000
MCMC iteration = 8301000
MCMC iteration = 8302000
MCMC iteration = 8303000
MCMC iteration = 8304000
MCMC iteration = 8305000
MCMC iteration = 8306000
MCMC iteration = 8307000
MCMC iteration = 8308000
MCMC iteration = 8309000
MCMC iteration = 8310000
MCMC iteration = 8311000
MCMC iteration = 8312000
MCMC iteration = 8313000
MCMC iteration = 8314000
MCMC iteration = 8315000
MCMC iteration = 8316000
MCMC iteration = 8317000
MCMC iteration = 8318000
MCMC iteration = 8319000
MCMC iteration = 8320000
MCMC iteration = 8321000
MCMC iteration = 8322000
MCMC iteration = 8323000
MCMC iteration = 8324000
MCMC iteration = 8325000
MCMC iteration = 8326000
MCMC iteration = 8327000
MCMC iteration = 8328000
MCMC iteration = 8329000
MCMC iteration = 8330000
MCMC iteration = 8331000
MCMC iteration = 8332000
MCMC iteration = 8333000
MCMC iteration = 8334000
MCMC iteration = 8335000
MCMC iteration = 8336000
MCMC iteration = 8337000
MCMC iteration = 8338000
MCMC iteration = 8339000
MCMC iteration = 8340000
MCMC iteration = 8341000
MCMC iteration = 8342000
MCMC iteration = 8343000
MCMC iteration = 8344000
MCMC iteration = 8345000
MCMC iteration = 8346000
MCMC iteration = 8347000
MCMC iteration = 8348000
MCMC iteration = 8349000
MCMC iteration = 8350000
MCMC iteration = 8351000
MCMC iteration = 8352000
MCMC iteration = 8353000
MCMC iteration = 8354000
MCMC iteration = 8355000
MCMC iteration = 8356000
MCMC iteration = 8357000
MCMC iteration = 8358000
MCMC iteration = 8359000
MCMC iteration = 8360000
MCMC iteration = 8361000
MCMC iteration = 8362000
MCMC iteration = 8363000
MCMC iteration = 8364000
MCMC iteration = 8365000
MCMC iteration = 8366000
MCMC iteration = 8367000
MCMC iteration = 8368000
MCMC iteration = 8369000
MCMC iteration = 8370000
MCMC iteration = 8371000
MCMC iteration = 8372000
MCMC iteration = 8373000
MCMC iteration = 8374000
MCMC iteration = 8375000
MCMC iteration = 8376000
MCMC iteration = 8377000
MCMC iteration = 8378000
MCMC iteration = 8379000
MCMC iteration = 8380000
MCMC iteration = 8381000
MCMC iteration = 8382000
MCMC iteration = 8383000
MCMC iteration = 8384000
MCMC iteration = 8385000
MCMC iteration = 8386000
MCMC iteration = 8387000
MCMC iteration = 8388000
MCMC iteration = 8389000
MCMC iteration = 8390000
MCMC iteration = 8391000
MCMC iteration = 8392000
MCMC iteration = 8393000
MCMC iteration = 8394000
MCMC iteration = 8395000
MCMC iteration = 8396000
MCMC iteration = 8397000
MCMC iteration = 8398000
MCMC iteration = 8399000
MCMC iteration = 8400000
MCMC iteration = 8401000
MCMC iteration = 8402000
MCMC iteration = 8403000
MCMC iteration = 8404000
MCMC iteration = 8405000
MCMC iteration = 8406000
MCMC iteration = 8407000
MCMC iteration = 8408000
MCMC iteration = 8409000
MCMC iteration = 8410000
MCMC iteration = 8411000
MCMC iteration = 8412000
MCMC iteration = 8413000
MCMC iteration = 8414000
MCMC iteration = 8415000
MCMC iteration = 8416000
MCMC iteration = 8417000
MCMC iteration = 8418000
MCMC iteration = 8419000
MCMC iteration = 8420000
MCMC iteration = 8421000
MCMC iteration = 8422000
MCMC iteration = 8423000
MCMC iteration = 8424000
MCMC iteration = 8425000
MCMC iteration = 8426000
MCMC iteration = 8427000
MCMC iteration = 8428000
MCMC iteration = 8429000
MCMC iteration = 8430000
MCMC iteration = 8431000
MCMC iteration = 8432000
MCMC iteration = 8433000
MCMC iteration = 8434000
MCMC iteration = 8435000
MCMC iteration = 8436000
MCMC iteration = 8437000
MCMC iteration = 8438000
MCMC iteration = 8439000
MCMC iteration = 8440000
MCMC iteration = 8441000
MCMC iteration = 8442000
MCMC iteration = 8443000
MCMC iteration = 8444000
MCMC iteration = 8445000
MCMC iteration = 8446000
MCMC iteration = 8447000
MCMC iteration = 8448000
MCMC iteration = 8449000
MCMC iteration = 8450000
MCMC iteration = 8451000
MCMC iteration = 8452000
MCMC iteration = 8453000
MCMC iteration = 8454000
MCMC iteration = 8455000
MCMC iteration = 8456000
MCMC iteration = 8457000
MCMC iteration = 8458000
MCMC iteration = 8459000
MCMC iteration = 8460000
MCMC iteration = 8461000
MCMC iteration = 8462000
MCMC iteration = 8463000
MCMC iteration = 8464000
MCMC iteration = 8465000
MCMC iteration = 8466000
MCMC iteration = 8467000
MCMC iteration = 8468000
MCMC iteration = 8469000
MCMC iteration = 8470000
MCMC iteration = 8471000
MCMC iteration = 8472000
MCMC iteration = 8473000
MCMC iteration = 8474000
MCMC iteration = 8475000
MCMC iteration = 8476000
MCMC iteration = 8477000
MCMC iteration = 8478000
MCMC iteration = 8479000
MCMC iteration = 8480000
MCMC iteration = 8481000
MCMC iteration = 8482000
MCMC iteration = 8483000
MCMC iteration = 8484000
MCMC iteration = 8485000
MCMC iteration = 8486000
MCMC iteration = 8487000
MCMC iteration = 8488000
MCMC iteration = 8489000
MCMC iteration = 8490000
MCMC iteration = 8491000
MCMC iteration = 8492000
MCMC iteration = 8493000
MCMC iteration = 8494000
MCMC iteration = 8495000
MCMC iteration = 8496000
MCMC iteration = 8497000
MCMC iteration = 8498000
MCMC iteration = 8499000
MCMC iteration = 8500000
MCMC iteration = 8501000
MCMC iteration = 8502000
MCMC iteration = 8503000
MCMC iteration = 8504000
MCMC iteration = 8505000
MCMC iteration = 8506000
MCMC iteration = 8507000
MCMC iteration = 8508000
MCMC iteration = 8509000
MCMC iteration = 8510000
MCMC iteration = 8511000
MCMC iteration = 8512000
MCMC iteration = 8513000
MCMC iteration = 8514000
MCMC iteration = 8515000
MCMC iteration = 8516000
MCMC iteration = 8517000
MCMC iteration = 8518000
MCMC iteration = 8519000
MCMC iteration = 8520000
MCMC iteration = 8521000
MCMC iteration = 8522000
MCMC iteration = 8523000
MCMC iteration = 8524000
MCMC iteration = 8525000
MCMC iteration = 8526000
MCMC iteration = 8527000
MCMC iteration = 8528000
MCMC iteration = 8529000
MCMC iteration = 8530000
MCMC iteration = 8531000
MCMC iteration = 8532000
MCMC iteration = 8533000
MCMC iteration = 8534000
MCMC iteration = 8535000
MCMC iteration = 8536000
MCMC iteration = 8537000
MCMC iteration = 8538000
MCMC iteration = 8539000
MCMC iteration = 8540000
MCMC iteration = 8541000
MCMC iteration = 8542000
MCMC iteration = 8543000
MCMC iteration = 8544000
MCMC iteration = 8545000
MCMC iteration = 8546000
MCMC iteration = 8547000
MCMC iteration = 8548000
MCMC iteration = 8549000
MCMC iteration = 8550000
MCMC iteration = 8551000
MCMC iteration = 8552000
MCMC iteration = 8553000
MCMC iteration = 8554000
MCMC iteration = 8555000
MCMC iteration = 8556000
MCMC iteration = 8557000
MCMC iteration = 8558000
MCMC iteration = 8559000
MCMC iteration = 8560000
MCMC iteration = 8561000
MCMC iteration = 8562000
MCMC iteration = 8563000
MCMC iteration = 8564000
MCMC iteration = 8565000
MCMC iteration = 8566000
MCMC iteration = 8567000
MCMC iteration = 8568000
MCMC iteration = 8569000
MCMC iteration = 8570000
MCMC iteration = 8571000
MCMC iteration = 8572000
MCMC iteration = 8573000
MCMC iteration = 8574000
MCMC iteration = 8575000
MCMC iteration = 8576000
MCMC iteration = 8577000
MCMC iteration = 8578000
MCMC iteration = 8579000
MCMC iteration = 8580000
MCMC iteration = 8581000
MCMC iteration = 8582000
MCMC iteration = 8583000
MCMC iteration = 8584000
MCMC iteration = 8585000
MCMC iteration = 8586000
MCMC iteration = 8587000
MCMC iteration = 8588000
MCMC iteration = 8589000
MCMC iteration = 8590000
MCMC iteration = 8591000
MCMC iteration = 8592000
MCMC iteration = 8593000
MCMC iteration = 8594000
MCMC iteration = 8595000
MCMC iteration = 8596000
MCMC iteration = 8597000
MCMC iteration = 8598000
MCMC iteration = 8599000
MCMC iteration = 8600000
MCMC iteration = 8601000
MCMC iteration = 8602000
MCMC iteration = 8603000
MCMC iteration = 8604000
MCMC iteration = 8605000
MCMC iteration = 8606000
MCMC iteration = 8607000
MCMC iteration = 8608000
MCMC iteration = 8609000
MCMC iteration = 8610000
MCMC iteration = 8611000
MCMC iteration = 8612000
MCMC iteration = 8613000
MCMC iteration = 8614000
MCMC iteration = 8615000
MCMC iteration = 8616000
MCMC iteration = 8617000
MCMC iteration = 8618000
MCMC iteration = 8619000
MCMC iteration = 8620000
MCMC iteration = 8621000
MCMC iteration = 8622000
MCMC iteration = 8623000
MCMC iteration = 8624000
MCMC iteration = 8625000
MCMC iteration = 8626000
MCMC iteration = 8627000
MCMC iteration = 8628000
MCMC iteration = 8629000
MCMC iteration = 8630000
MCMC iteration = 8631000
MCMC iteration = 8632000
MCMC iteration = 8633000
MCMC iteration = 8634000
MCMC iteration = 8635000
MCMC iteration = 8636000
MCMC iteration = 8637000
MCMC iteration = 8638000
MCMC iteration = 8639000
MCMC iteration = 8640000
MCMC iteration = 8641000
MCMC iteration = 8642000
MCMC iteration = 8643000
MCMC iteration = 8644000
MCMC iteration = 8645000
MCMC iteration = 8646000
MCMC iteration = 8647000
MCMC iteration = 8648000
MCMC iteration = 8649000
MCMC iteration = 8650000
MCMC iteration = 8651000
MCMC iteration = 8652000
MCMC iteration = 8653000
MCMC iteration = 8654000
MCMC iteration = 8655000
MCMC iteration = 8656000
MCMC iteration = 8657000
MCMC iteration = 8658000
MCMC iteration = 8659000
MCMC iteration = 8660000
MCMC iteration = 8661000
MCMC iteration = 8662000
MCMC iteration = 8663000
MCMC iteration = 8664000
MCMC iteration = 8665000
MCMC iteration = 8666000
MCMC iteration = 8667000
MCMC iteration = 8668000
MCMC iteration = 8669000
MCMC iteration = 8670000
MCMC iteration = 8671000
MCMC iteration = 8672000
MCMC iteration = 8673000
MCMC iteration = 8674000
MCMC iteration = 8675000
MCMC iteration = 8676000
MCMC iteration = 8677000
MCMC iteration = 8678000
MCMC iteration = 8679000
MCMC iteration = 8680000
MCMC iteration = 8681000
MCMC iteration = 8682000
MCMC iteration = 8683000
MCMC iteration = 8684000
MCMC iteration = 8685000
MCMC iteration = 8686000
MCMC iteration = 8687000
MCMC iteration = 8688000
MCMC iteration = 8689000
MCMC iteration = 8690000
MCMC iteration = 8691000
MCMC iteration = 8692000
MCMC iteration = 8693000
MCMC iteration = 8694000
MCMC iteration = 8695000
MCMC iteration = 8696000
MCMC iteration = 8697000
MCMC iteration = 8698000
MCMC iteration = 8699000
MCMC iteration = 8700000
MCMC iteration = 8701000
MCMC iteration = 8702000
MCMC iteration = 8703000
MCMC iteration = 8704000
MCMC iteration = 8705000
MCMC iteration = 8706000
MCMC iteration = 8707000
MCMC iteration = 8708000
MCMC iteration = 8709000
MCMC iteration = 8710000
MCMC iteration = 8711000
MCMC iteration = 8712000
MCMC iteration = 8713000
MCMC iteration = 8714000
MCMC iteration = 8715000
MCMC iteration = 8716000
MCMC iteration = 8717000
MCMC iteration = 8718000
MCMC iteration = 8719000
MCMC iteration = 8720000
MCMC iteration = 8721000
MCMC iteration = 8722000
MCMC iteration = 8723000
MCMC iteration = 8724000
MCMC iteration = 8725000
MCMC iteration = 8726000
MCMC iteration = 8727000
MCMC iteration = 8728000
MCMC iteration = 8729000
MCMC iteration = 8730000
MCMC iteration = 8731000
MCMC iteration = 8732000
MCMC iteration = 8733000
MCMC iteration = 8734000
MCMC iteration = 8735000
MCMC iteration = 8736000
MCMC iteration = 8737000
MCMC iteration = 8738000
MCMC iteration = 8739000
MCMC iteration = 8740000
MCMC iteration = 8741000
MCMC iteration = 8742000
MCMC iteration = 8743000
MCMC iteration = 8744000
MCMC iteration = 8745000
MCMC iteration = 8746000
MCMC iteration = 8747000
MCMC iteration = 8748000
MCMC iteration = 8749000
MCMC iteration = 8750000
MCMC iteration = 8751000
MCMC iteration = 8752000
MCMC iteration = 8753000
MCMC iteration = 8754000
MCMC iteration = 8755000
MCMC iteration = 8756000
MCMC iteration = 8757000
MCMC iteration = 8758000
MCMC iteration = 8759000
MCMC iteration = 8760000
MCMC iteration = 8761000
MCMC iteration = 8762000
MCMC iteration = 8763000
MCMC iteration = 8764000
MCMC iteration = 8765000
MCMC iteration = 8766000
MCMC iteration = 8767000
MCMC iteration = 8768000
MCMC iteration = 8769000
MCMC iteration = 8770000
MCMC iteration = 8771000
MCMC iteration = 8772000
MCMC iteration = 8773000
MCMC iteration = 8774000
MCMC iteration = 8775000
MCMC iteration = 8776000
MCMC iteration = 8777000
MCMC iteration = 8778000
MCMC iteration = 8779000
MCMC iteration = 8780000
MCMC iteration = 8781000
MCMC iteration = 8782000
MCMC iteration = 8783000
MCMC iteration = 8784000
MCMC iteration = 8785000
MCMC iteration = 8786000
MCMC iteration = 8787000
MCMC iteration = 8788000
MCMC iteration = 8789000
MCMC iteration = 8790000
MCMC iteration = 8791000
MCMC iteration = 8792000
MCMC iteration = 8793000
MCMC iteration = 8794000
MCMC iteration = 8795000
MCMC iteration = 8796000
MCMC iteration = 8797000
MCMC iteration = 8798000
MCMC iteration = 8799000
MCMC iteration = 8800000
MCMC iteration = 8801000
MCMC iteration = 8802000
MCMC iteration = 8803000
MCMC iteration = 8804000
MCMC iteration = 8805000
MCMC iteration = 8806000
MCMC iteration = 8807000
MCMC iteration = 8808000
MCMC iteration = 8809000
MCMC iteration = 8810000
MCMC iteration = 8811000
MCMC iteration = 8812000
MCMC iteration = 8813000
MCMC iteration = 8814000
MCMC iteration = 8815000
MCMC iteration = 8816000
MCMC iteration = 8817000
MCMC iteration = 8818000
MCMC iteration = 8819000
MCMC iteration = 8820000
MCMC iteration = 8821000
MCMC iteration = 8822000
MCMC iteration = 8823000
MCMC iteration = 8824000
MCMC iteration = 8825000
MCMC iteration = 8826000
MCMC iteration = 8827000
MCMC iteration = 8828000
MCMC iteration = 8829000
MCMC iteration = 8830000
MCMC iteration = 8831000
MCMC iteration = 8832000
MCMC iteration = 8833000
MCMC iteration = 8834000
MCMC iteration = 8835000
MCMC iteration = 8836000
MCMC iteration = 8837000
MCMC iteration = 8838000
MCMC iteration = 8839000
MCMC iteration = 8840000
MCMC iteration = 8841000
MCMC iteration = 8842000
MCMC iteration = 8843000
MCMC iteration = 8844000
MCMC iteration = 8845000
MCMC iteration = 8846000
MCMC iteration = 8847000
MCMC iteration = 8848000
MCMC iteration = 8849000
MCMC iteration = 8850000
MCMC iteration = 8851000
MCMC iteration = 8852000
MCMC iteration = 8853000
MCMC iteration = 8854000
MCMC iteration = 8855000
MCMC iteration = 8856000
MCMC iteration = 8857000
MCMC iteration = 8858000
MCMC iteration = 8859000
MCMC iteration = 8860000
MCMC iteration = 8861000
MCMC iteration = 8862000
MCMC iteration = 8863000
MCMC iteration = 8864000
MCMC iteration = 8865000
MCMC iteration = 8866000
MCMC iteration = 8867000
MCMC iteration = 8868000
MCMC iteration = 8869000
MCMC iteration = 8870000
MCMC iteration = 8871000
MCMC iteration = 8872000
MCMC iteration = 8873000
MCMC iteration = 8874000
MCMC iteration = 8875000
MCMC iteration = 8876000
MCMC iteration = 8877000
MCMC iteration = 8878000
MCMC iteration = 8879000
MCMC iteration = 8880000
MCMC iteration = 8881000
MCMC iteration = 8882000
MCMC iteration = 8883000
MCMC iteration = 8884000
MCMC iteration = 8885000
MCMC iteration = 8886000
MCMC iteration = 8887000
MCMC iteration = 8888000
MCMC iteration = 8889000
MCMC iteration = 8890000
MCMC iteration = 8891000
MCMC iteration = 8892000
MCMC iteration = 8893000
MCMC iteration = 8894000
MCMC iteration = 8895000
MCMC iteration = 8896000
MCMC iteration = 8897000
MCMC iteration = 8898000
MCMC iteration = 8899000
MCMC iteration = 8900000
MCMC iteration = 8901000
MCMC iteration = 8902000
MCMC iteration = 8903000
MCMC iteration = 8904000
MCMC iteration = 8905000
MCMC iteration = 8906000
MCMC iteration = 8907000
MCMC iteration = 8908000
MCMC iteration = 8909000
MCMC iteration = 8910000
MCMC iteration = 8911000
MCMC iteration = 8912000
MCMC iteration = 8913000
MCMC iteration = 8914000
MCMC iteration = 8915000
MCMC iteration = 8916000
MCMC iteration = 8917000
MCMC iteration = 8918000
MCMC iteration = 8919000
MCMC iteration = 8920000
MCMC iteration = 8921000
MCMC iteration = 8922000
MCMC iteration = 8923000
MCMC iteration = 8924000
MCMC iteration = 8925000
MCMC iteration = 8926000
MCMC iteration = 8927000
MCMC iteration = 8928000
MCMC iteration = 8929000
MCMC iteration = 8930000
MCMC iteration = 8931000
MCMC iteration = 8932000
MCMC iteration = 8933000
MCMC iteration = 8934000
MCMC iteration = 8935000
MCMC iteration = 8936000
MCMC iteration = 8937000
MCMC iteration = 8938000
MCMC iteration = 8939000
MCMC iteration = 8940000
MCMC iteration = 8941000
MCMC iteration = 8942000
MCMC iteration = 8943000
MCMC iteration = 8944000
MCMC iteration = 8945000
MCMC iteration = 8946000
MCMC iteration = 8947000
MCMC iteration = 8948000
MCMC iteration = 8949000
MCMC iteration = 8950000
MCMC iteration = 8951000
MCMC iteration = 8952000
MCMC iteration = 8953000
MCMC iteration = 8954000
MCMC iteration = 8955000
MCMC iteration = 8956000
MCMC iteration = 8957000
MCMC iteration = 8958000
MCMC iteration = 8959000
MCMC iteration = 8960000
MCMC iteration = 8961000
MCMC iteration = 8962000
MCMC iteration = 8963000
MCMC iteration = 8964000
MCMC iteration = 8965000
MCMC iteration = 8966000
MCMC iteration = 8967000
MCMC iteration = 8968000
MCMC iteration = 8969000
MCMC iteration = 8970000
MCMC iteration = 8971000
MCMC iteration = 8972000
MCMC iteration = 8973000
MCMC iteration = 8974000
MCMC iteration = 8975000
MCMC iteration = 8976000
MCMC iteration = 8977000
MCMC iteration = 8978000
MCMC iteration = 8979000
MCMC iteration = 8980000
MCMC iteration = 8981000
MCMC iteration = 8982000
MCMC iteration = 8983000
MCMC iteration = 8984000
MCMC iteration = 8985000
MCMC iteration = 8986000
MCMC iteration = 8987000
MCMC iteration = 8988000
MCMC iteration = 8989000
MCMC iteration = 8990000
MCMC iteration = 8991000
MCMC iteration = 8992000
MCMC iteration = 8993000
MCMC iteration = 8994000
MCMC iteration = 8995000
MCMC iteration = 8996000
MCMC iteration = 8997000
MCMC iteration = 8998000
MCMC iteration = 8999000
MCMC iteration = 9000000
MCMC iteration = 9001000
MCMC iteration = 9002000
MCMC iteration = 9003000
MCMC iteration = 9004000
MCMC iteration = 9005000
MCMC iteration = 9006000
MCMC iteration = 9007000
MCMC iteration = 9008000
MCMC iteration = 9009000
MCMC iteration = 9010000
MCMC iteration = 9011000
MCMC iteration = 9012000
MCMC iteration = 9013000
MCMC iteration = 9014000
MCMC iteration = 9015000
MCMC iteration = 9016000
MCMC iteration = 9017000
MCMC iteration = 9018000
MCMC iteration = 9019000
MCMC iteration = 9020000
MCMC iteration = 9021000
MCMC iteration = 9022000
MCMC iteration = 9023000
MCMC iteration = 9024000
MCMC iteration = 9025000
MCMC iteration = 9026000
MCMC iteration = 9027000
MCMC iteration = 9028000
MCMC iteration = 9029000
MCMC iteration = 9030000
MCMC iteration = 9031000
MCMC iteration = 9032000
MCMC iteration = 9033000
MCMC iteration = 9034000
MCMC iteration = 9035000
MCMC iteration = 9036000
MCMC iteration = 9037000
MCMC iteration = 9038000
MCMC iteration = 9039000
MCMC iteration = 9040000
MCMC iteration = 9041000
MCMC iteration = 9042000
MCMC iteration = 9043000
MCMC iteration = 9044000
MCMC iteration = 9045000
MCMC iteration = 9046000
MCMC iteration = 9047000
MCMC iteration = 9048000
MCMC iteration = 9049000
MCMC iteration = 9050000
MCMC iteration = 9051000
MCMC iteration = 9052000
MCMC iteration = 9053000
MCMC iteration = 9054000
MCMC iteration = 9055000
MCMC iteration = 9056000
MCMC iteration = 9057000
MCMC iteration = 9058000
MCMC iteration = 9059000
MCMC iteration = 9060000
MCMC iteration = 9061000
MCMC iteration = 9062000
MCMC iteration = 9063000
MCMC iteration = 9064000
MCMC iteration = 9065000
MCMC iteration = 9066000
MCMC iteration = 9067000
MCMC iteration = 9068000
MCMC iteration = 9069000
MCMC iteration = 9070000
MCMC iteration = 9071000
MCMC iteration = 9072000
MCMC iteration = 9073000
MCMC iteration = 9074000
MCMC iteration = 9075000
MCMC iteration = 9076000
MCMC iteration = 9077000
MCMC iteration = 9078000
MCMC iteration = 9079000
MCMC iteration = 9080000
MCMC iteration = 9081000
MCMC iteration = 9082000
MCMC iteration = 9083000
MCMC iteration = 9084000
MCMC iteration = 9085000
MCMC iteration = 9086000
MCMC iteration = 9087000
MCMC iteration = 9088000
MCMC iteration = 9089000
MCMC iteration = 9090000
MCMC iteration = 9091000
MCMC iteration = 9092000
MCMC iteration = 9093000
MCMC iteration = 9094000
MCMC iteration = 9095000
MCMC iteration = 9096000
MCMC iteration = 9097000
MCMC iteration = 9098000
MCMC iteration = 9099000
MCMC iteration = 9100000
MCMC iteration = 9101000
MCMC iteration = 9102000
MCMC iteration = 9103000
MCMC iteration = 9104000
MCMC iteration = 9105000
MCMC iteration = 9106000
MCMC iteration = 9107000
MCMC iteration = 9108000
MCMC iteration = 9109000
MCMC iteration = 9110000
MCMC iteration = 9111000
MCMC iteration = 9112000
MCMC iteration = 9113000
MCMC iteration = 9114000
MCMC iteration = 9115000
MCMC iteration = 9116000
MCMC iteration = 9117000
MCMC iteration = 9118000
MCMC iteration = 9119000
MCMC iteration = 9120000
MCMC iteration = 9121000
MCMC iteration = 9122000
MCMC iteration = 9123000
MCMC iteration = 9124000
MCMC iteration = 9125000
MCMC iteration = 9126000
MCMC iteration = 9127000
MCMC iteration = 9128000
MCMC iteration = 9129000
MCMC iteration = 9130000
MCMC iteration = 9131000
MCMC iteration = 9132000
MCMC iteration = 9133000
MCMC iteration = 9134000
MCMC iteration = 9135000
MCMC iteration = 9136000
MCMC iteration = 9137000
MCMC iteration = 9138000
MCMC iteration = 9139000
MCMC iteration = 9140000
MCMC iteration = 9141000
MCMC iteration = 9142000
MCMC iteration = 9143000
MCMC iteration = 9144000
MCMC iteration = 9145000
MCMC iteration = 9146000
MCMC iteration = 9147000
MCMC iteration = 9148000
MCMC iteration = 9149000
MCMC iteration = 9150000
MCMC iteration = 9151000
MCMC iteration = 9152000
MCMC iteration = 9153000
MCMC iteration = 9154000
MCMC iteration = 9155000
MCMC iteration = 9156000
MCMC iteration = 9157000
MCMC iteration = 9158000
MCMC iteration = 9159000
MCMC iteration = 9160000
MCMC iteration = 9161000
MCMC iteration = 9162000
MCMC iteration = 9163000
MCMC iteration = 9164000
MCMC iteration = 9165000
MCMC iteration = 9166000
MCMC iteration = 9167000
MCMC iteration = 9168000
MCMC iteration = 9169000
MCMC iteration = 9170000
MCMC iteration = 9171000
MCMC iteration = 9172000
MCMC iteration = 9173000
MCMC iteration = 9174000
MCMC iteration = 9175000
MCMC iteration = 9176000
MCMC iteration = 9177000
MCMC iteration = 9178000
MCMC iteration = 9179000
MCMC iteration = 9180000
MCMC iteration = 9181000
MCMC iteration = 9182000
MCMC iteration = 9183000
MCMC iteration = 9184000
MCMC iteration = 9185000
MCMC iteration = 9186000
MCMC iteration = 9187000
MCMC iteration = 9188000
MCMC iteration = 9189000
MCMC iteration = 9190000
MCMC iteration = 9191000
MCMC iteration = 9192000
MCMC iteration = 9193000
MCMC iteration = 9194000
MCMC iteration = 9195000
MCMC iteration = 9196000
MCMC iteration = 9197000
MCMC iteration = 9198000
MCMC iteration = 9199000
MCMC iteration = 9200000
MCMC iteration = 9201000
MCMC iteration = 9202000
MCMC iteration = 9203000
MCMC iteration = 9204000
MCMC iteration = 9205000
MCMC iteration = 9206000
MCMC iteration = 9207000
MCMC iteration = 9208000
MCMC iteration = 9209000
MCMC iteration = 9210000
MCMC iteration = 9211000
MCMC iteration = 9212000
MCMC iteration = 9213000
MCMC iteration = 9214000
MCMC iteration = 9215000
MCMC iteration = 9216000
MCMC iteration = 9217000
MCMC iteration = 9218000
MCMC iteration = 9219000
MCMC iteration = 9220000
MCMC iteration = 9221000
MCMC iteration = 9222000
MCMC iteration = 9223000
MCMC iteration = 9224000
MCMC iteration = 9225000
MCMC iteration = 9226000
MCMC iteration = 9227000
MCMC iteration = 9228000
MCMC iteration = 9229000
MCMC iteration = 9230000
MCMC iteration = 9231000
MCMC iteration = 9232000
MCMC iteration = 9233000
MCMC iteration = 9234000
MCMC iteration = 9235000
MCMC iteration = 9236000
MCMC iteration = 9237000
MCMC iteration = 9238000
MCMC iteration = 9239000
MCMC iteration = 9240000
MCMC iteration = 9241000
MCMC iteration = 9242000
MCMC iteration = 9243000
MCMC iteration = 9244000
MCMC iteration = 9245000
MCMC iteration = 9246000
MCMC iteration = 9247000
MCMC iteration = 9248000
MCMC iteration = 9249000
MCMC iteration = 9250000
MCMC iteration = 9251000
MCMC iteration = 9252000
MCMC iteration = 9253000
MCMC iteration = 9254000
MCMC iteration = 9255000
MCMC iteration = 9256000
MCMC iteration = 9257000
MCMC iteration = 9258000
MCMC iteration = 9259000
MCMC iteration = 9260000
MCMC iteration = 9261000
MCMC iteration = 9262000
MCMC iteration = 9263000
MCMC iteration = 9264000
MCMC iteration = 9265000
MCMC iteration = 9266000
MCMC iteration = 9267000
MCMC iteration = 9268000
MCMC iteration = 9269000
MCMC iteration = 9270000
MCMC iteration = 9271000
MCMC iteration = 9272000
MCMC iteration = 9273000
MCMC iteration = 9274000
MCMC iteration = 9275000
MCMC iteration = 9276000
MCMC iteration = 9277000
MCMC iteration = 9278000
MCMC iteration = 9279000
MCMC iteration = 9280000
MCMC iteration = 9281000
MCMC iteration = 9282000
MCMC iteration = 9283000
MCMC iteration = 9284000
MCMC iteration = 9285000
MCMC iteration = 9286000
MCMC iteration = 9287000
MCMC iteration = 9288000
MCMC iteration = 9289000
MCMC iteration = 9290000
MCMC iteration = 9291000
MCMC iteration = 9292000
MCMC iteration = 9293000
MCMC iteration = 9294000
MCMC iteration = 9295000
MCMC iteration = 9296000
MCMC iteration = 9297000
MCMC iteration = 9298000
MCMC iteration = 9299000
MCMC iteration = 9300000
MCMC iteration = 9301000
MCMC iteration = 9302000
MCMC iteration = 9303000
MCMC iteration = 9304000
MCMC iteration = 9305000
MCMC iteration = 9306000
MCMC iteration = 9307000
MCMC iteration = 9308000
MCMC iteration = 9309000
MCMC iteration = 9310000
MCMC iteration = 9311000
MCMC iteration = 9312000
MCMC iteration = 9313000
MCMC iteration = 9314000
MCMC iteration = 9315000
MCMC iteration = 9316000
MCMC iteration = 9317000
MCMC iteration = 9318000
MCMC iteration = 9319000
MCMC iteration = 9320000
MCMC iteration = 9321000
MCMC iteration = 9322000
MCMC iteration = 9323000
MCMC iteration = 9324000
MCMC iteration = 9325000
MCMC iteration = 9326000
MCMC iteration = 9327000
MCMC iteration = 9328000
MCMC iteration = 9329000
MCMC iteration = 9330000
MCMC iteration = 9331000
MCMC iteration = 9332000
MCMC iteration = 9333000
MCMC iteration = 9334000
MCMC iteration = 9335000
MCMC iteration = 9336000
MCMC iteration = 9337000
MCMC iteration = 9338000
MCMC iteration = 9339000
MCMC iteration = 9340000
MCMC iteration = 9341000
MCMC iteration = 9342000
MCMC iteration = 9343000
MCMC iteration = 9344000
MCMC iteration = 9345000
MCMC iteration = 9346000
MCMC iteration = 9347000
MCMC iteration = 9348000
MCMC iteration = 9349000
MCMC iteration = 9350000
MCMC iteration = 9351000
MCMC iteration = 9352000
MCMC iteration = 9353000
MCMC iteration = 9354000
MCMC iteration = 9355000
MCMC iteration = 9356000
MCMC iteration = 9357000
MCMC iteration = 9358000
MCMC iteration = 9359000
MCMC iteration = 9360000
MCMC iteration = 9361000
MCMC iteration = 9362000
MCMC iteration = 9363000
MCMC iteration = 9364000
MCMC iteration = 9365000
MCMC iteration = 9366000
MCMC iteration = 9367000
MCMC iteration = 9368000
MCMC iteration = 9369000
MCMC iteration = 9370000
MCMC iteration = 9371000
MCMC iteration = 9372000
MCMC iteration = 9373000
MCMC iteration = 9374000
MCMC iteration = 9375000
MCMC iteration = 9376000
MCMC iteration = 9377000
MCMC iteration = 9378000
MCMC iteration = 9379000
MCMC iteration = 9380000
MCMC iteration = 9381000
MCMC iteration = 9382000
MCMC iteration = 9383000
MCMC iteration = 9384000
MCMC iteration = 9385000
MCMC iteration = 9386000
MCMC iteration = 9387000
MCMC iteration = 9388000
MCMC iteration = 9389000
MCMC iteration = 9390000
MCMC iteration = 9391000
MCMC iteration = 9392000
MCMC iteration = 9393000
MCMC iteration = 9394000
MCMC iteration = 9395000
MCMC iteration = 9396000
MCMC iteration = 9397000
MCMC iteration = 9398000
MCMC iteration = 9399000
MCMC iteration = 9400000
MCMC iteration = 9401000
MCMC iteration = 9402000
MCMC iteration = 9403000
MCMC iteration = 9404000
MCMC iteration = 9405000
MCMC iteration = 9406000
MCMC iteration = 9407000
MCMC iteration = 9408000
MCMC iteration = 9409000
MCMC iteration = 9410000
MCMC iteration = 9411000
MCMC iteration = 9412000
MCMC iteration = 9413000
MCMC iteration = 9414000
MCMC iteration = 9415000
MCMC iteration = 9416000
MCMC iteration = 9417000
MCMC iteration = 9418000
MCMC iteration = 9419000
MCMC iteration = 9420000
MCMC iteration = 9421000
MCMC iteration = 9422000
MCMC iteration = 9423000
MCMC iteration = 9424000
MCMC iteration = 9425000
MCMC iteration = 9426000
MCMC iteration = 9427000
MCMC iteration = 9428000
MCMC iteration = 9429000
MCMC iteration = 9430000
MCMC iteration = 9431000
MCMC iteration = 9432000
MCMC iteration = 9433000
MCMC iteration = 9434000
MCMC iteration = 9435000
MCMC iteration = 9436000
MCMC iteration = 9437000
MCMC iteration = 9438000
MCMC iteration = 9439000
MCMC iteration = 9440000
MCMC iteration = 9441000
MCMC iteration = 9442000
MCMC iteration = 9443000
MCMC iteration = 9444000
MCMC iteration = 9445000
MCMC iteration = 9446000
MCMC iteration = 9447000
MCMC iteration = 9448000
MCMC iteration = 9449000
MCMC iteration = 9450000
MCMC iteration = 9451000
MCMC iteration = 9452000
MCMC iteration = 9453000
MCMC iteration = 9454000
MCMC iteration = 9455000
MCMC iteration = 9456000
MCMC iteration = 9457000
MCMC iteration = 9458000
MCMC iteration = 9459000
MCMC iteration = 9460000
MCMC iteration = 9461000
MCMC iteration = 9462000
MCMC iteration = 9463000
MCMC iteration = 9464000
MCMC iteration = 9465000
MCMC iteration = 9466000
MCMC iteration = 9467000
MCMC iteration = 9468000
MCMC iteration = 9469000
MCMC iteration = 9470000
MCMC iteration = 9471000
MCMC iteration = 9472000
MCMC iteration = 9473000
MCMC iteration = 9474000
MCMC iteration = 9475000
MCMC iteration = 9476000
MCMC iteration = 9477000
MCMC iteration = 9478000
MCMC iteration = 9479000
MCMC iteration = 9480000
MCMC iteration = 9481000
MCMC iteration = 9482000
MCMC iteration = 9483000
MCMC iteration = 9484000
MCMC iteration = 9485000
MCMC iteration = 9486000
MCMC iteration = 9487000
MCMC iteration = 9488000
MCMC iteration = 9489000
MCMC iteration = 9490000
MCMC iteration = 9491000
MCMC iteration = 9492000
MCMC iteration = 9493000
MCMC iteration = 9494000
MCMC iteration = 9495000
MCMC iteration = 9496000
MCMC iteration = 9497000
MCMC iteration = 9498000
MCMC iteration = 9499000
MCMC iteration = 9500000
MCMC iteration = 9501000
MCMC iteration = 9502000
MCMC iteration = 9503000
MCMC iteration = 9504000
MCMC iteration = 9505000
MCMC iteration = 9506000
MCMC iteration = 9507000
MCMC iteration = 9508000
MCMC iteration = 9509000
MCMC iteration = 9510000
MCMC iteration = 9511000
MCMC iteration = 9512000
MCMC iteration = 9513000
MCMC iteration = 9514000
MCMC iteration = 9515000
MCMC iteration = 9516000
MCMC iteration = 9517000
MCMC iteration = 9518000
MCMC iteration = 9519000
MCMC iteration = 9520000
MCMC iteration = 9521000
MCMC iteration = 9522000
MCMC iteration = 9523000
MCMC iteration = 9524000
MCMC iteration = 9525000
MCMC iteration = 9526000
MCMC iteration = 9527000
MCMC iteration = 9528000
MCMC iteration = 9529000
MCMC iteration = 9530000
MCMC iteration = 9531000
MCMC iteration = 9532000
MCMC iteration = 9533000
MCMC iteration = 9534000
MCMC iteration = 9535000
MCMC iteration = 9536000
MCMC iteration = 9537000
MCMC iteration = 9538000
MCMC iteration = 9539000
MCMC iteration = 9540000
MCMC iteration = 9541000
MCMC iteration = 9542000
MCMC iteration = 9543000
MCMC iteration = 9544000
MCMC iteration = 9545000
MCMC iteration = 9546000
MCMC iteration = 9547000
MCMC iteration = 9548000
MCMC iteration = 9549000
MCMC iteration = 9550000
MCMC iteration = 9551000
MCMC iteration = 9552000
MCMC iteration = 9553000
MCMC iteration = 9554000
MCMC iteration = 9555000
MCMC iteration = 9556000
MCMC iteration = 9557000
MCMC iteration = 9558000
MCMC iteration = 9559000
MCMC iteration = 9560000
MCMC iteration = 9561000
MCMC iteration = 9562000
MCMC iteration = 9563000
MCMC iteration = 9564000
MCMC iteration = 9565000
MCMC iteration = 9566000
MCMC iteration = 9567000
MCMC iteration = 9568000
MCMC iteration = 9569000
MCMC iteration = 9570000
MCMC iteration = 9571000
MCMC iteration = 9572000
MCMC iteration = 9573000
MCMC iteration = 9574000
MCMC iteration = 9575000
MCMC iteration = 9576000
MCMC iteration = 9577000
MCMC iteration = 9578000
MCMC iteration = 9579000
MCMC iteration = 9580000
MCMC iteration = 9581000
MCMC iteration = 9582000
MCMC iteration = 9583000
MCMC iteration = 9584000
MCMC iteration = 9585000
MCMC iteration = 9586000
MCMC iteration = 9587000
MCMC iteration = 9588000
MCMC iteration = 9589000
MCMC iteration = 9590000
MCMC iteration = 9591000
MCMC iteration = 9592000
MCMC iteration = 9593000
MCMC iteration = 9594000
MCMC iteration = 9595000
MCMC iteration = 9596000
MCMC iteration = 9597000
MCMC iteration = 9598000
MCMC iteration = 9599000
MCMC iteration = 9600000
MCMC iteration = 9601000
MCMC iteration = 9602000
MCMC iteration = 9603000
MCMC iteration = 9604000
MCMC iteration = 9605000
MCMC iteration = 9606000
MCMC iteration = 9607000
MCMC iteration = 9608000
MCMC iteration = 9609000
MCMC iteration = 9610000
MCMC iteration = 9611000
MCMC iteration = 9612000
MCMC iteration = 9613000
MCMC iteration = 9614000
MCMC iteration = 9615000
MCMC iteration = 9616000
MCMC iteration = 9617000
MCMC iteration = 9618000
MCMC iteration = 9619000
MCMC iteration = 9620000
MCMC iteration = 9621000
MCMC iteration = 9622000
MCMC iteration = 9623000
MCMC iteration = 9624000
MCMC iteration = 9625000
MCMC iteration = 9626000
MCMC iteration = 9627000
MCMC iteration = 9628000
MCMC iteration = 9629000
MCMC iteration = 9630000
MCMC iteration = 9631000
MCMC iteration = 9632000
MCMC iteration = 9633000
MCMC iteration = 9634000
MCMC iteration = 9635000
MCMC iteration = 9636000
MCMC iteration = 9637000
MCMC iteration = 9638000
MCMC iteration = 9639000
MCMC iteration = 9640000
MCMC iteration = 9641000
MCMC iteration = 9642000
MCMC iteration = 9643000
MCMC iteration = 9644000
MCMC iteration = 9645000
MCMC iteration = 9646000
MCMC iteration = 9647000
MCMC iteration = 9648000
MCMC iteration = 9649000
MCMC iteration = 9650000
MCMC iteration = 9651000
MCMC iteration = 9652000
MCMC iteration = 9653000
MCMC iteration = 9654000
MCMC iteration = 9655000
MCMC iteration = 9656000
MCMC iteration = 9657000
MCMC iteration = 9658000
MCMC iteration = 9659000
MCMC iteration = 9660000
MCMC iteration = 9661000
MCMC iteration = 9662000
MCMC iteration = 9663000
MCMC iteration = 9664000
MCMC iteration = 9665000
MCMC iteration = 9666000
MCMC iteration = 9667000
MCMC iteration = 9668000
MCMC iteration = 9669000
MCMC iteration = 9670000
MCMC iteration = 9671000
MCMC iteration = 9672000
MCMC iteration = 9673000
MCMC iteration = 9674000
MCMC iteration = 9675000
MCMC iteration = 9676000
MCMC iteration = 9677000
MCMC iteration = 9678000
MCMC iteration = 9679000
MCMC iteration = 9680000
MCMC iteration = 9681000
MCMC iteration = 9682000
MCMC iteration = 9683000
MCMC iteration = 9684000
MCMC iteration = 9685000
MCMC iteration = 9686000
MCMC iteration = 9687000
MCMC iteration = 9688000
MCMC iteration = 9689000
MCMC iteration = 9690000
MCMC iteration = 9691000
MCMC iteration = 9692000
MCMC iteration = 9693000
MCMC iteration = 9694000
MCMC iteration = 9695000
MCMC iteration = 9696000
MCMC iteration = 9697000
MCMC iteration = 9698000
MCMC iteration = 9699000
MCMC iteration = 9700000
MCMC iteration = 9701000
MCMC iteration = 9702000
MCMC iteration = 9703000
MCMC iteration = 9704000
MCMC iteration = 9705000
MCMC iteration = 9706000
MCMC iteration = 9707000
MCMC iteration = 9708000
MCMC iteration = 9709000
MCMC iteration = 9710000
MCMC iteration = 9711000
MCMC iteration = 9712000
MCMC iteration = 9713000
MCMC iteration = 9714000
MCMC iteration = 9715000
MCMC iteration = 9716000
MCMC iteration = 9717000
MCMC iteration = 9718000
MCMC iteration = 9719000
MCMC iteration = 9720000
MCMC iteration = 9721000
MCMC iteration = 9722000
MCMC iteration = 9723000
MCMC iteration = 9724000
MCMC iteration = 9725000
MCMC iteration = 9726000
MCMC iteration = 9727000
MCMC iteration = 9728000
MCMC iteration = 9729000
MCMC iteration = 9730000
MCMC iteration = 9731000
MCMC iteration = 9732000
MCMC iteration = 9733000
MCMC iteration = 9734000
MCMC iteration = 9735000
MCMC iteration = 9736000
MCMC iteration = 9737000
MCMC iteration = 9738000
MCMC iteration = 9739000
MCMC iteration = 9740000
MCMC iteration = 9741000
MCMC iteration = 9742000
MCMC iteration = 9743000
MCMC iteration = 9744000
MCMC iteration = 9745000
MCMC iteration = 9746000
MCMC iteration = 9747000
MCMC iteration = 9748000
MCMC iteration = 9749000
MCMC iteration = 9750000
MCMC iteration = 9751000
MCMC iteration = 9752000
MCMC iteration = 9753000
MCMC iteration = 9754000
MCMC iteration = 9755000
MCMC iteration = 9756000
MCMC iteration = 9757000
MCMC iteration = 9758000
MCMC iteration = 9759000
MCMC iteration = 9760000
MCMC iteration = 9761000
MCMC iteration = 9762000
MCMC iteration = 9763000
MCMC iteration = 9764000
MCMC iteration = 9765000
MCMC iteration = 9766000
MCMC iteration = 9767000
MCMC iteration = 9768000
MCMC iteration = 9769000
MCMC iteration = 9770000
MCMC iteration = 9771000
MCMC iteration = 9772000
MCMC iteration = 9773000
MCMC iteration = 9774000
MCMC iteration = 9775000
MCMC iteration = 9776000
MCMC iteration = 9777000
MCMC iteration = 9778000
MCMC iteration = 9779000
MCMC iteration = 9780000
MCMC iteration = 9781000
MCMC iteration = 9782000
MCMC iteration = 9783000
MCMC iteration = 9784000
MCMC iteration = 9785000
MCMC iteration = 9786000
MCMC iteration = 9787000
MCMC iteration = 9788000
MCMC iteration = 9789000
MCMC iteration = 9790000
MCMC iteration = 9791000
MCMC iteration = 9792000
MCMC iteration = 9793000
MCMC iteration = 9794000
MCMC iteration = 9795000
MCMC iteration = 9796000
MCMC iteration = 9797000
MCMC iteration = 9798000
MCMC iteration = 9799000
MCMC iteration = 9800000
MCMC iteration = 9801000
MCMC iteration = 9802000
MCMC iteration = 9803000
MCMC iteration = 9804000
MCMC iteration = 9805000
MCMC iteration = 9806000
MCMC iteration = 9807000
MCMC iteration = 9808000
MCMC iteration = 9809000
MCMC iteration = 9810000
MCMC iteration = 9811000
MCMC iteration = 9812000
MCMC iteration = 9813000
MCMC iteration = 9814000
MCMC iteration = 9815000
MCMC iteration = 9816000
MCMC iteration = 9817000
MCMC iteration = 9818000
MCMC iteration = 9819000
MCMC iteration = 9820000
MCMC iteration = 9821000
MCMC iteration = 9822000
MCMC iteration = 9823000
MCMC iteration = 9824000
MCMC iteration = 9825000
MCMC iteration = 9826000
MCMC iteration = 9827000
MCMC iteration = 9828000
MCMC iteration = 9829000
MCMC iteration = 9830000
MCMC iteration = 9831000
MCMC iteration = 9832000
MCMC iteration = 9833000
MCMC iteration = 9834000
MCMC iteration = 9835000
MCMC iteration = 9836000
MCMC iteration = 9837000
MCMC iteration = 9838000
MCMC iteration = 9839000
MCMC iteration = 9840000
MCMC iteration = 9841000
MCMC iteration = 9842000
MCMC iteration = 9843000
MCMC iteration = 9844000
MCMC iteration = 9845000
MCMC iteration = 9846000
MCMC iteration = 9847000
MCMC iteration = 9848000
MCMC iteration = 9849000
MCMC iteration = 9850000
MCMC iteration = 9851000
MCMC iteration = 9852000
MCMC iteration = 9853000
MCMC iteration = 9854000
MCMC iteration = 9855000
MCMC iteration = 9856000
MCMC iteration = 9857000
MCMC iteration = 9858000
MCMC iteration = 9859000
MCMC iteration = 9860000
MCMC iteration = 9861000
MCMC iteration = 9862000
MCMC iteration = 9863000
MCMC iteration = 9864000
MCMC iteration = 9865000
MCMC iteration = 9866000
MCMC iteration = 9867000
MCMC iteration = 9868000
MCMC iteration = 9869000
MCMC iteration = 9870000
MCMC iteration = 9871000
MCMC iteration = 9872000
MCMC iteration = 9873000
MCMC iteration = 9874000
MCMC iteration = 9875000
MCMC iteration = 9876000
MCMC iteration = 9877000
MCMC iteration = 9878000
MCMC iteration = 9879000
MCMC iteration = 9880000
MCMC iteration = 9881000
MCMC iteration = 9882000
MCMC iteration = 9883000
MCMC iteration = 9884000
MCMC iteration = 9885000
MCMC iteration = 9886000
MCMC iteration = 9887000
MCMC iteration = 9888000
MCMC iteration = 9889000
MCMC iteration = 9890000
MCMC iteration = 9891000
MCMC iteration = 9892000
MCMC iteration = 9893000
MCMC iteration = 9894000
MCMC iteration = 9895000
MCMC iteration = 9896000
MCMC iteration = 9897000
MCMC iteration = 9898000
MCMC iteration = 9899000
MCMC iteration = 9900000
MCMC iteration = 9901000
MCMC iteration = 9902000
MCMC iteration = 9903000
MCMC iteration = 9904000
MCMC iteration = 9905000
MCMC iteration = 9906000
MCMC iteration = 9907000
MCMC iteration = 9908000
MCMC iteration = 9909000
MCMC iteration = 9910000
MCMC iteration = 9911000
MCMC iteration = 9912000
MCMC iteration = 9913000
MCMC iteration = 9914000
MCMC iteration = 9915000
MCMC iteration = 9916000
MCMC iteration = 9917000
MCMC iteration = 9918000
MCMC iteration = 9919000
MCMC iteration = 9920000
MCMC iteration = 9921000
MCMC iteration = 9922000
MCMC iteration = 9923000
MCMC iteration = 9924000
MCMC iteration = 9925000
MCMC iteration = 9926000
MCMC iteration = 9927000
MCMC iteration = 9928000
MCMC iteration = 9929000
MCMC iteration = 9930000
MCMC iteration = 9931000
MCMC iteration = 9932000
MCMC iteration = 9933000
MCMC iteration = 9934000
MCMC iteration = 9935000
MCMC iteration = 9936000
MCMC iteration = 9937000
MCMC iteration = 9938000
MCMC iteration = 9939000
MCMC iteration = 9940000
MCMC iteration = 9941000
MCMC iteration = 9942000
MCMC iteration = 9943000
MCMC iteration = 9944000
MCMC iteration = 9945000
MCMC iteration = 9946000
MCMC iteration = 9947000
MCMC iteration = 9948000
MCMC iteration = 9949000
MCMC iteration = 9950000
MCMC iteration = 9951000
MCMC iteration = 9952000
MCMC iteration = 9953000
MCMC iteration = 9954000
MCMC iteration = 9955000
MCMC iteration = 9956000
MCMC iteration = 9957000
MCMC iteration = 9958000
MCMC iteration = 9959000
MCMC iteration = 9960000
MCMC iteration = 9961000
MCMC iteration = 9962000
MCMC iteration = 9963000
MCMC iteration = 9964000
MCMC iteration = 9965000
MCMC iteration = 9966000
MCMC iteration = 9967000
MCMC iteration = 9968000
MCMC iteration = 9969000
MCMC iteration = 9970000
MCMC iteration = 9971000
MCMC iteration = 9972000
MCMC iteration = 9973000
MCMC iteration = 9974000
MCMC iteration = 9975000
MCMC iteration = 9976000
MCMC iteration = 9977000
MCMC iteration = 9978000
MCMC iteration = 9979000
MCMC iteration = 9980000
MCMC iteration = 9981000
MCMC iteration = 9982000
MCMC iteration = 9983000
MCMC iteration = 9984000
MCMC iteration = 9985000
MCMC iteration = 9986000
MCMC iteration = 9987000
MCMC iteration = 9988000
MCMC iteration = 9989000
MCMC iteration = 9990000
MCMC iteration = 9991000
MCMC iteration = 9992000
MCMC iteration = 9993000
MCMC iteration = 9994000
MCMC iteration = 9995000
MCMC iteration = 9996000
MCMC iteration = 9997000
MCMC iteration = 9998000
MCMC iteration = 9999000
MCMC iteration = 10000000
MCMC iteration = 10001000
MCMC iteration = 10002000
MCMC iteration = 10003000
MCMC iteration = 10004000
MCMC iteration = 10005000
MCMC iteration = 10006000
MCMC iteration = 10007000
MCMC iteration = 10008000
MCMC iteration = 10009000
MCMC iteration = 10010000
MCMC iteration = 10011000
MCMC iteration = 10012000
MCMC iteration = 10013000
MCMC iteration = 10014000
MCMC iteration = 10015000
MCMC iteration = 10016000
MCMC iteration = 10017000
MCMC iteration = 10018000
MCMC iteration = 10019000
MCMC iteration = 10020000
MCMC iteration = 10021000
MCMC iteration = 10022000
MCMC iteration = 10023000
MCMC iteration = 10024000
MCMC iteration = 10025000
MCMC iteration = 10026000
MCMC iteration = 10027000
MCMC iteration = 10028000
MCMC iteration = 10029000
MCMC iteration = 10030000
MCMC iteration = 10031000
MCMC iteration = 10032000
MCMC iteration = 10033000
MCMC iteration = 10034000
MCMC iteration = 10035000
MCMC iteration = 10036000
MCMC iteration = 10037000
MCMC iteration = 10038000
MCMC iteration = 10039000
MCMC iteration = 10040000
MCMC iteration = 10041000
MCMC iteration = 10042000
MCMC iteration = 10043000
MCMC iteration = 10044000
MCMC iteration = 10045000
MCMC iteration = 10046000
MCMC iteration = 10047000
MCMC iteration = 10048000
MCMC iteration = 10049000
MCMC iteration = 10050000
MCMC iteration = 10051000
MCMC iteration = 10052000
MCMC iteration = 10053000
MCMC iteration = 10054000
MCMC iteration = 10055000
MCMC iteration = 10056000
MCMC iteration = 10057000
MCMC iteration = 10058000
MCMC iteration = 10059000
MCMC iteration = 10060000
MCMC iteration = 10061000
MCMC iteration = 10062000
MCMC iteration = 10063000
MCMC iteration = 10064000
MCMC iteration = 10065000
MCMC iteration = 10066000
MCMC iteration = 10067000
MCMC iteration = 10068000
MCMC iteration = 10069000
MCMC iteration = 10070000
MCMC iteration = 10071000
MCMC iteration = 10072000
MCMC iteration = 10073000
MCMC iteration = 10074000
MCMC iteration = 10075000
MCMC iteration = 10076000
MCMC iteration = 10077000
MCMC iteration = 10078000
MCMC iteration = 10079000
MCMC iteration = 10080000
MCMC iteration = 10081000
MCMC iteration = 10082000
MCMC iteration = 10083000
MCMC iteration = 10084000
MCMC iteration = 10085000
MCMC iteration = 10086000
MCMC iteration = 10087000
MCMC iteration = 10088000
MCMC iteration = 10089000
MCMC iteration = 10090000
MCMC iteration = 10091000
MCMC iteration = 10092000
MCMC iteration = 10093000
MCMC iteration = 10094000
MCMC iteration = 10095000
MCMC iteration = 10096000
MCMC iteration = 10097000
MCMC iteration = 10098000
MCMC iteration = 10099000
MCMC iteration = 10100000
MCMC iteration = 10101000
MCMC iteration = 10102000
MCMC iteration = 10103000
MCMC iteration = 10104000
MCMC iteration = 10105000
MCMC iteration = 10106000
MCMC iteration = 10107000
MCMC iteration = 10108000
MCMC iteration = 10109000
MCMC iteration = 10110000
MCMC iteration = 10111000
MCMC iteration = 10112000
MCMC iteration = 10113000
MCMC iteration = 10114000
MCMC iteration = 10115000
MCMC iteration = 10116000
MCMC iteration = 10117000
MCMC iteration = 10118000
MCMC iteration = 10119000
MCMC iteration = 10120000
MCMC iteration = 10121000
MCMC iteration = 10122000
MCMC iteration = 10123000
MCMC iteration = 10124000
MCMC iteration = 10125000
MCMC iteration = 10126000
MCMC iteration = 10127000
MCMC iteration = 10128000
MCMC iteration = 10129000
MCMC iteration = 10130000
MCMC iteration = 10131000
MCMC iteration = 10132000
MCMC iteration = 10133000
MCMC iteration = 10134000
MCMC iteration = 10135000
MCMC iteration = 10136000
MCMC iteration = 10137000
MCMC iteration = 10138000
MCMC iteration = 10139000
MCMC iteration = 10140000
MCMC iteration = 10141000
MCMC iteration = 10142000
MCMC iteration = 10143000
MCMC iteration = 10144000
MCMC iteration = 10145000
MCMC iteration = 10146000
MCMC iteration = 10147000
MCMC iteration = 10148000
MCMC iteration = 10149000
MCMC iteration = 10150000
MCMC iteration = 10151000
MCMC iteration = 10152000
MCMC iteration = 10153000
MCMC iteration = 10154000
MCMC iteration = 10155000
MCMC iteration = 10156000
MCMC iteration = 10157000
MCMC iteration = 10158000
MCMC iteration = 10159000
MCMC iteration = 10160000
MCMC iteration = 10161000
MCMC iteration = 10162000
MCMC iteration = 10163000
MCMC iteration = 10164000
MCMC iteration = 10165000
MCMC iteration = 10166000
MCMC iteration = 10167000
MCMC iteration = 10168000
MCMC iteration = 10169000
MCMC iteration = 10170000
MCMC iteration = 10171000
MCMC iteration = 10172000
MCMC iteration = 10173000
MCMC iteration = 10174000
MCMC iteration = 10175000
MCMC iteration = 10176000
MCMC iteration = 10177000
MCMC iteration = 10178000
MCMC iteration = 10179000
MCMC iteration = 10180000
MCMC iteration = 10181000
MCMC iteration = 10182000
MCMC iteration = 10183000
MCMC iteration = 10184000
MCMC iteration = 10185000
MCMC iteration = 10186000
MCMC iteration = 10187000
MCMC iteration = 10188000
MCMC iteration = 10189000
MCMC iteration = 10190000
MCMC iteration = 10191000
MCMC iteration = 10192000
MCMC iteration = 10193000
MCMC iteration = 10194000
MCMC iteration = 10195000
MCMC iteration = 10196000
MCMC iteration = 10197000
MCMC iteration = 10198000
MCMC iteration = 10199000
MCMC iteration = 10200000
MCMC iteration = 10201000
MCMC iteration = 10202000
MCMC iteration = 10203000
MCMC iteration = 10204000
MCMC iteration = 10205000
MCMC iteration = 10206000
MCMC iteration = 10207000
MCMC iteration = 10208000
MCMC iteration = 10209000
MCMC iteration = 10210000
MCMC iteration = 10211000
MCMC iteration = 10212000
MCMC iteration = 10213000
MCMC iteration = 10214000
MCMC iteration = 10215000
MCMC iteration = 10216000
MCMC iteration = 10217000
MCMC iteration = 10218000
MCMC iteration = 10219000
MCMC iteration = 10220000
MCMC iteration = 10221000
MCMC iteration = 10222000
MCMC iteration = 10223000
MCMC iteration = 10224000
MCMC iteration = 10225000
MCMC iteration = 10226000
MCMC iteration = 10227000
MCMC iteration = 10228000
MCMC iteration = 10229000
MCMC iteration = 10230000
MCMC iteration = 10231000
MCMC iteration = 10232000
MCMC iteration = 10233000
MCMC iteration = 10234000
MCMC iteration = 10235000
MCMC iteration = 10236000
MCMC iteration = 10237000
MCMC iteration = 10238000
MCMC iteration = 10239000
MCMC iteration = 10240000
MCMC iteration = 10241000
MCMC iteration = 10242000
MCMC iteration = 10243000
MCMC iteration = 10244000
MCMC iteration = 10245000
MCMC iteration = 10246000
MCMC iteration = 10247000
MCMC iteration = 10248000
MCMC iteration = 10249000
MCMC iteration = 10250000
MCMC iteration = 10251000
MCMC iteration = 10252000
MCMC iteration = 10253000
MCMC iteration = 10254000
MCMC iteration = 10255000
MCMC iteration = 10256000
MCMC iteration = 10257000
MCMC iteration = 10258000
MCMC iteration = 10259000
MCMC iteration = 10260000
MCMC iteration = 10261000
MCMC iteration = 10262000
MCMC iteration = 10263000
MCMC iteration = 10264000
MCMC iteration = 10265000
MCMC iteration = 10266000
MCMC iteration = 10267000
MCMC iteration = 10268000
MCMC iteration = 10269000
MCMC iteration = 10270000
MCMC iteration = 10271000
MCMC iteration = 10272000
MCMC iteration = 10273000
MCMC iteration = 10274000
MCMC iteration = 10275000
MCMC iteration = 10276000
MCMC iteration = 10277000
MCMC iteration = 10278000
MCMC iteration = 10279000
MCMC iteration = 10280000
MCMC iteration = 10281000
MCMC iteration = 10282000
MCMC iteration = 10283000
MCMC iteration = 10284000
MCMC iteration = 10285000
MCMC iteration = 10286000
MCMC iteration = 10287000
MCMC iteration = 10288000
MCMC iteration = 10289000
MCMC iteration = 10290000
MCMC iteration = 10291000
MCMC iteration = 10292000
MCMC iteration = 10293000
MCMC iteration = 10294000
MCMC iteration = 10295000
MCMC iteration = 10296000
MCMC iteration = 10297000
MCMC iteration = 10298000
MCMC iteration = 10299000
MCMC iteration = 10300000
MCMC iteration = 10301000
MCMC iteration = 10302000
MCMC iteration = 10303000
MCMC iteration = 10304000
MCMC iteration = 10305000
MCMC iteration = 10306000
MCMC iteration = 10307000
MCMC iteration = 10308000
MCMC iteration = 10309000
MCMC iteration = 10310000
MCMC iteration = 10311000
MCMC iteration = 10312000
MCMC iteration = 10313000
MCMC iteration = 10314000
MCMC iteration = 10315000
MCMC iteration = 10316000
MCMC iteration = 10317000
MCMC iteration = 10318000
MCMC iteration = 10319000
MCMC iteration = 10320000
MCMC iteration = 10321000
MCMC iteration = 10322000
MCMC iteration = 10323000
MCMC iteration = 10324000
MCMC iteration = 10325000
MCMC iteration = 10326000
MCMC iteration = 10327000
MCMC iteration = 10328000
MCMC iteration = 10329000
MCMC iteration = 10330000
MCMC iteration = 10331000
MCMC iteration = 10332000
MCMC iteration = 10333000
MCMC iteration = 10334000
MCMC iteration = 10335000
MCMC iteration = 10336000
MCMC iteration = 10337000
MCMC iteration = 10338000
MCMC iteration = 10339000
MCMC iteration = 10340000
MCMC iteration = 10341000
MCMC iteration = 10342000
MCMC iteration = 10343000
MCMC iteration = 10344000
MCMC iteration = 10345000
MCMC iteration = 10346000
MCMC iteration = 10347000
MCMC iteration = 10348000
MCMC iteration = 10349000
MCMC iteration = 10350000
MCMC iteration = 10351000
MCMC iteration = 10352000
MCMC iteration = 10353000
MCMC iteration = 10354000
MCMC iteration = 10355000
MCMC iteration = 10356000
MCMC iteration = 10357000
MCMC iteration = 10358000
MCMC iteration = 10359000
MCMC iteration = 10360000
MCMC iteration = 10361000
MCMC iteration = 10362000
MCMC iteration = 10363000
MCMC iteration = 10364000
MCMC iteration = 10365000
MCMC iteration = 10366000
MCMC iteration = 10367000
MCMC iteration = 10368000
MCMC iteration = 10369000
MCMC iteration = 10370000
MCMC iteration = 10371000
MCMC iteration = 10372000
MCMC iteration = 10373000
MCMC iteration = 10374000
MCMC iteration = 10375000
MCMC iteration = 10376000
MCMC iteration = 10377000
MCMC iteration = 10378000
MCMC iteration = 10379000
MCMC iteration = 10380000
MCMC iteration = 10381000
MCMC iteration = 10382000
MCMC iteration = 10383000
MCMC iteration = 10384000
MCMC iteration = 10385000
MCMC iteration = 10386000
MCMC iteration = 10387000
MCMC iteration = 10388000
MCMC iteration = 10389000
MCMC iteration = 10390000
MCMC iteration = 10391000
MCMC iteration = 10392000
MCMC iteration = 10393000
MCMC iteration = 10394000
MCMC iteration = 10395000
MCMC iteration = 10396000
MCMC iteration = 10397000
MCMC iteration = 10398000
MCMC iteration = 10399000
MCMC iteration = 10400000
MCMC iteration = 10401000
MCMC iteration = 10402000
MCMC iteration = 10403000
MCMC iteration = 10404000
MCMC iteration = 10405000
MCMC iteration = 10406000
MCMC iteration = 10407000
MCMC iteration = 10408000
MCMC iteration = 10409000
MCMC iteration = 10410000
MCMC iteration = 10411000
MCMC iteration = 10412000
MCMC iteration = 10413000
MCMC iteration = 10414000
MCMC iteration = 10415000
MCMC iteration = 10416000
MCMC iteration = 10417000
MCMC iteration = 10418000
MCMC iteration = 10419000
MCMC iteration = 10420000
MCMC iteration = 10421000
MCMC iteration = 10422000
MCMC iteration = 10423000
MCMC iteration = 10424000
MCMC iteration = 10425000
MCMC iteration = 10426000
MCMC iteration = 10427000
MCMC iteration = 10428000
MCMC iteration = 10429000
MCMC iteration = 10430000
MCMC iteration = 10431000
MCMC iteration = 10432000
MCMC iteration = 10433000
MCMC iteration = 10434000
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summary(MCMC_model_PubBias)
Iterations = 1000001:10999501
Thinning interval = 500
Sample size = 20000
DIC: -54.88828
G-structure: ~animal
post.mean l-95% CI u-95% CI eff.samp
animal 0.01895 0.0001803 0.06561 19912
~Index
post.mean l-95% CI u-95% CI eff.samp
Index 0.05992 0.0002374 0.1353 17156
~Study_ID
post.mean l-95% CI u-95% CI eff.samp
Study_ID 0.008926 0.0001633 0.03062 18142
R-structure: ~units
post.mean l-95% CI u-95% CI eff.samp
units 0.06005 0.0002399 0.1351 17124
Location effects: z ~ SE_z
post.mean l-95% CI u-95% CI eff.samp pMCMC
(Intercept) 0.04553 -0.19285 0.28355 20000 0.703
SE_z 1.40011 0.43992 2.37407 20000 0.004 **
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
# Extract model predictions
<- as.data.frame(predict(MCMC_model_PubBias, interval="confidence"))
model_p <-cbind(MetaData,model_p$fit, model_p$lwr,model_p$upr)
preds
ggplot(MetaData, aes(x=SE_z, y=z)) +
theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),panel.background = element_blank(), axis.line = element_line(colour = "black"))+
theme(axis.text=element_text(size=13),
axis.title=element_text(size=14))+ theme(legend.position="none")+ylab(expression(paste("Effect size (", italic("z"),')')))+
geom_point(shape=16, size = 3,alpha=0.5)+xlab('Standard error')+
geom_hline(yintercept=0, linetype="dashed", color = "black", linewidth=1)+
geom_line( aes(y = model_p$fit), size = 1)+
geom_ribbon( aes(ymin = model_p$lwr, ymax = model_p$upr, color = 'black',linetype=NA), alpha = .15,show.legend = F, outline.type = "both") +
theme
Figure S5: Scatter plot of the standard error in z scores of each study against the z score of each primary study (transformed correlation coefficients). Dashed line marks a correlation coefficient of zero, black line represents predictions from MCMC model (controlling for phylogeny) and grey area represents 95% CI on model predictions.
sessionInfo()
R version 4.2.0 (2022-04-22 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19045)
Matrix products: default
locale:
[1] LC_COLLATE=German_Germany.utf8 LC_CTYPE=German_Germany.utf8
[3] LC_MONETARY=German_Germany.utf8 LC_NUMERIC=C
[5] LC_TIME=German_Germany.utf8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] wesanderson_0.3.6 PupillometryR_0.0.4 rlang_1.0.6
[4] dplyr_1.1.0 cowplot_1.1.1 ggdist_3.2.1
[7] MCMCglmm_2.34 coda_0.19-4 RColorBrewer_1.1-3
[10] ggplot2_3.4.1 data.table_1.14.8 multcomp_1.4-23
[13] TH.data_1.1-1 survival_3.3-1 mvtnorm_1.1-3
[16] psych_2.2.9 pwr_1.3-0 MASS_7.3-56
[19] metafor_3.8-1 metadat_1.2-0 Matrix_1.5-3
[22] matrixcalc_1.0-6 ape_5.7-1
loaded via a namespace (and not attached):
[1] sass_0.4.5 jsonlite_1.8.4 splines_4.2.0
[4] bslib_0.4.2 distributional_0.3.1 highr_0.10
[7] tensorA_0.36.2 yaml_2.3.7 pillar_1.8.1
[10] lattice_0.20-45 glue_1.6.2 digest_0.6.31
[13] promises_1.2.0.1 colorspace_2.1-0 sandwich_3.0-2
[16] htmltools_0.5.4 httpuv_1.6.9 pkgconfig_2.0.3
[19] corpcor_1.6.10 scales_1.2.1 whisker_0.4.1
[22] later_1.3.0 cubature_2.0.4.6 git2r_0.31.0
[25] tibble_3.2.0 generics_0.1.3 farver_2.1.1
[28] cachem_1.0.7 withr_2.5.0 cli_3.6.1
[31] mnormt_2.1.1 magrittr_2.0.3 evaluate_0.20
[34] fs_1.6.1 fansi_1.0.4 nlme_3.1-157
[37] tools_4.2.0 lifecycle_1.0.3 stringr_1.5.0
[40] munsell_0.5.0 compiler_4.2.0 jquerylib_0.1.4
[43] grid_4.2.0 rstudioapi_0.14 labeling_0.4.2
[46] rmarkdown_2.20 gtable_0.3.1 codetools_0.2-18
[49] R6_2.5.1 zoo_1.8-11 knitr_1.42
[52] fastmap_1.1.1 utf8_1.2.3 workflowr_1.7.0
[55] mathjaxr_1.6-0 rprojroot_2.0.3 stringi_1.7.12
[58] parallel_4.2.0 Rcpp_1.0.10 vctrs_0.5.2
[61] tidyselect_1.2.0 xfun_0.37