MCMCglmm (version 2.35)

posterior.ante: Posterior distribution of ante-dependence parameters

Description

Posterior distribution of ante-dependence parameters

Usage

posterior.ante(x,k=1)

Value

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

Arguments

x

mcmc object of (co)variances stacked column-wise

k

order of the ante-dependence structure

Author

Jarrod Hadfield j.hadfield@ed.ac.uk

See Also

posterior.cor, posterior.evals, posterior.inverse

Examples

Run this code
v<-rIW(diag(2),10, n=1000)
plot(posterior.ante(mcmc(v),1))

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