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Does MCMCglmm heritability correspond to lambda estimates?
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# load required packages | |
require(phytools) | |
require(geiger) | |
require(MCMCglmm) | |
data(bird.families) | |
# CASE 1: very high lambda | |
set.seed(1982) | |
phylo.effect<- fastBM(bird.families) | |
phylosig(bird.families, phylo.effect, method='lambda') | |
test.data <- data.frame(phenotype=phylo.effect, taxon=names(phylo.effect)) | |
Ainv <- inverseA(bird.families)$Ainv | |
prior<-list(R=list(V=1, nu=0.002), G=list(G1=list(V=1, nu=0.002))) | |
model1<-MCMCglmm(phenotype~1, random=~taxon, ginverse=list(taxon=Ainv), | |
data=test.data, prior=prior, verbose=FALSE) | |
herit.1<-model1$VCV[,"taxon"]/(model1$VCV[,"taxon"]+model1$VCV[,"units"]) | |
hist(herit.1) | |
posterior.mode(herit.1) | |
# CASE 2: very high lambda | |
set.seed(1982) | |
no.phylo.effect<- setNames(rnorm(length(bird.families$tip.label)), bird.families$tip.label) | |
phylosig(bird.families, no.phylo.effect, method='lambda') | |
test.data.2<-data.frame(phenotype=no.phylo.effect, taxon=names(no.phylo.effect)) | |
Ainv<-inverseA(bird.families)$Ainv | |
model2<-MCMCglmm(phenotype~1, random=~taxon, ginverse=list(taxon=Ainv), | |
data=test.data.2, prior=prior, verbose=FALSE) | |
herit.2<-model2$VCV[,"taxon"]/(model2$VCV[,"taxon"]+model2$VCV[,"units"]) | |
hist(herit.2) | |
posterior.mode(herit.2) | |
# CASE 3: intermediate lambda | |
set.seed(1982) | |
intermediate.phylo.effect<- fastBM(transform(bird.families, 'lambda', lambda=0.3)) | |
phylosig(bird.families, intermediate.phylo.effect, method='lambda') # actually estimates to be 0.5 | |
test.data.3 <- data.frame(phenotype=intermediate.phylo.effect, taxon=names(intermediate.phylo.effect)) | |
Ainv <- inverseA(bird.families)$Ainv | |
model3<-MCMCglmm(phenotype~1, random=~taxon, ginverse=list(taxon=Ainv), | |
data=test.data.3, prior=prior, verbose=FALSE) | |
herit.3<-model3$VCV[,"taxon"]/(model3$VCV[,"taxon"]+model3$VCV[,"units"]) | |
hist(herit.3) | |
posterior.mode(herit.3) | |
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