R: Bayesian Hierarchical Poisson Models for Multiple Grouped Outcomes with Clustering

# Bayesian Hierarchical Poisson Models for Multiple Grouped Outcomes with Clustering

## Documentation for package ‘bhpm’ version 1.8.1

- DESCRIPTION file

## Help Pages

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.
demo.cluster.data | Cluster analysis data.