MCMCglmm (version 2.29)

posterior.ante: Posterior distribution of ante-dependence parameters

Description

Posterior distribution of ante-dependence parameters

Usage

posterior.ante(x,k=1)

Arguments

x

mcmc object of (co)variances stacked column-wise

k

order of the ante-dependence structure

Value

posterior ante-dependence parameters (innovation variances followed by regression ceofficients)

See Also

posterior.cor, posterior.evals, posterior.inverse

Examples

# NOT RUN {
v<-rIW(diag(2),10, n=1000)
plot(posterior.ante(mcmc(v),1))
# }