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Posterior distribution of matrix inverse
posterior.inverse(x)
mcmc object of (co)variances stacked column-wise
posterior of inverse (co)variance matrices
posterior.cor, posterior.evals, posterior.ante
posterior.cor
posterior.evals
posterior.ante
# NOT RUN { v<-rIW(diag(2),3, n=1000) plot(posterior.inverse(mcmc(v))) # }
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