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. |