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
                        \mathbf{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
                        \mathbf{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 \mathbf{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 \mathbf{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
                        \mathbf{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
                        \mathbf{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 \mathbf{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 \mathbf{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
