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Posterior distribution of ante-dependence parameters
posterior.ante(x,k=1)
mcmc object of (co)variances stacked column-wise
order of the ante-dependence structure
posterior ante-dependence parameters (innovation variances followed by regression ceofficients)
posterior.cor, posterior.evals, posterior.inverse
posterior.cor
posterior.evals
posterior.inverse
# NOT RUN { v<-rIW(diag(2),10, n=1000) plot(posterior.ante(mcmc(v),1)) # }
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