BayesMultMeta           Interface for the BayesMultMeta class
MC_ranks                Computes the ranks within the pooled draws of
                        Markov chains
bayes_inference         Summary statistics from a posterior
                        distribution
duplication_matrix      Duplication matrix
plot.BayesMultMeta      Plot a BayesMultMeta object
sample_post_nor_jef_marg_Psi
                        Metropolis-Hastings algorithm for the normal
                        distribution and the Jeffreys prior, where Psi
                        is generated from the marginal posterior.
sample_post_nor_jef_marg_mu
                        Metropolis-Hastings algorithm for the normal
                        distribution and the Jeffreys prior, where mu
                        is generated from the marginal posterior.
sample_post_nor_ref_marg_Psi
                        Metropolis-Hastings algorithm for the normal
                        distribution and the Berger and Bernardo
                        reference prior, where Psi is generated from
                        the marginal posterior.
sample_post_nor_ref_marg_mu
                        Metropolis-Hastings algorithm for the normal
                        distribution and the Berger and Bernardo
                        reference prior, where mu is generated from the
                        marginal posterior.
sample_post_t_jef_marg_Psi
                        Metropolis-Hastings algorithm for the
                        t-distribution and the Jeffreys prior, where
                        Psi is generated from the marginal posterior.
sample_post_t_jef_marg_mu
                        Metropolis-Hastings algorithm for the
                        t-distribution and the Jeffreys prior, where mu
                        is generated from the marginal posterior.
sample_post_t_ref_marg_Psi
                        Metropolis-Hastings algorithm for the
                        t-distribution and Berger and Bernardo
                        reference prior, where Psi is generated from
                        the marginal posterior.
sample_post_t_ref_marg_mu
                        Metropolis-Hastings algorithm for the
                        t-distribution and Berger and Bernardo
                        reference prior, where mu is generated from the
                        marginal posterior.
split_rank_hatR         Computes the split-\hat{R} estimate based on
                        the rank normalization
summary.BayesMultMeta   Summary statistics from the posterior of a
                        BayesMultMeta class
