MCMCglmm (version 2.29)

posterior.evals: Posterior distribution of eigenvalues

Description

Posterior distribution of eigenvalues

Usage

posterior.evals(x)

Arguments

x

mcmc object of (co)variances stacked column-wise

Value

posterior eigenvalues

See Also

posterior.cor, posterior.inverse, posterior.ante

Examples

# NOT RUN {
v<-rIW(diag(2),3, n=1000)
hist(posterior.evals(mcmc(v))[,2])
# }