bhpm-package            Bayesian Hierarchical Possion Models for
                        Mulitple Grouped Outcomes with Clustering
bhpm.cluster.1a.hier2   A Two-Level Hierarchical Model for Grouped Data
                        with Clusters and without Point-Mass.
bhpm.cluster.1a.hier3   A Three-Level Hierarchical Model for Grouped
                        Data with Clusters and without Point-Mass.
bhpm.cluster.BB.hier2   A Two-Level Hierarchical Model for grouped data
                        and clusters with Point-Mass.
bhpm.cluster.BB.hier3   A Three-Level Hierarchical Model for grouped
                        data and clusters with Point-Mass.
bhpm.cluster.data1      Cluster analysis data.
bhpm.cluster.data2      Cluster analysis data.
bhpm.convergence.diag   Convergence Diagnostics of the Simulation
bhpm.gen.initial.values
                        Generate a template simulation initial values.
bhpm.global.sim.param.defaults
                        Generate default global simulation parameters
                        for a model.
bhpm.hyper.param.defaults
                        Generate default hyperparameter values for a
                        model.
bhpm.monitor.defaults   Generate default variable monitor list for a
                        model.
bhpm.monitor.samples    Generate a template for choosing which samples
                        to monitor.
bhpm.multi.treatments   Cluster analysis data.
bhpm.multi.treatments.random.order
                        Cluster analysis data.
bhpm.npm                Fit a Bayesian Hierarchical Model for Grouped
                        Data with Clusters and without Point-Mass.
bhpm.pm                 A Bayesian Hierarchical Model for grouped data
                        and clusters with Point-Mass.
bhpm.pointmass.weights
                        Generate a template for the point-mass
                        weightings.
bhpm.print.convergence.summary
                        Print a Summary of the Convergence Diagnostics
                        of the Simulation
bhpm.print.summary.stats
                        Print the Summary Statistics of Posterior
                        Distributions
bhpm.ptheta             Reports the posterior probability that theta
                        (the increase in the log-odds) is greater than
                        zero, zero, and less than zero for each outcome
bhpm.sim.control.params
                        Generate a template for the individual model
                        parameter simulation control parameters.
bhpm.summary.stats      Summary Statistics for the Posterior
                        Distributions in the model.
