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MCMCglmm (version 2.36)

posterior.evals: Posterior distribution of eigenvalues

Description

Posterior distribution of eigenvalues

Usage

posterior.evals(x)

Value

posterior eigenvalues

Arguments

x

mcmc object of (co)variances stacked column-wise

Author

Jarrod Hadfield j.hadfield@ed.ac.uk

See Also

posterior.cor, posterior.inverse, posterior.ante

Examples

Run this code
v<-rIW(diag(2),3, n=1000)
hist(posterior.evals(mcmc(v))[,2])

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