Man pages for bhpm
Bayesian Hierarchical Poisson Models for Multiple Grouped Outcomes with Clustering

bhpm.cluster.1a.hier2A Two-Level Hierarchical Model for Grouped Data with Clusters...
bhpm.cluster.1a.hier3A Three-Level Hierarchical Model for Grouped Data with...
bhpm.cluster.BB.hier2A Two-Level Hierarchical Model for grouped data and clusters...
bhpm.cluster.BB.hier3A Three-Level Hierarchical Model for grouped data and...
bhpm.cluster.data1Cluster analysis data.
bhpm.cluster.data2Cluster analysis data.
bhpm.convergence.diagConvergence Diagnostics of the Simulation
bhpm.gen.initial.valuesGenerate a template simulation initial values.
bhpm.global.sim.param.defaultsGenerate default global simulation parameters for a model.
bhpm.hyper.params.defaultsGenerate default hyperparameter values for a model.
bhpm.monitor.defaultsGenerate default variable monitor list for a model.
bhpm.monitor.samplesGenerate a template for choosing which samples to monitor.
bhpm.multi.treatmentsCluster analysis data.
bhpm.multi.treatments.random.orderCluster analysis data.
bhpm.npmFit a Bayesian Hierarchical Model for Grouped Data with...
bhpm.PackageBayesian Hierarchical Possion Models for Mulitple Grouped...
bhpm.pmA Bayesian Hierarchical Model for grouped data and clusters...
bhpm.pointmass.weightsGenerate a template for the point-mass weightings.
bhpm.print.convergence.summaryPrint a Summary of the Convergence Diagnostics of the...
bhpm.print.summary.statsPrint the Summary Statistics of Posterior Distributions
bhpm.pthetaReports the posterior probability that theta (the increase in...
bhpm.sim.control.paramsGenerate a template for the individual model parameter...
bhpm.summary.statsSummary Statistics for the Posterior Distributions in the...
bhpm documentation built on April 1, 2020, 5:09 p.m.