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bhpm  

Bayesian Hierarchical Poisson Models for Multiple Grouped Outcomes with Clustering
View on CRAN: Click here


Download and install bhpm package within the R console
Install from CRAN:
install.packages("bhpm")

Install from Github:
library("remotes")
install_github("cran/bhpm")

Install by package version:
library("remotes")
install_version("bhpm", "1.7")



Attach the package and use:
library("bhpm")
Maintained by
Raymond Carragher
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-04-01
Latest Update: 2020-04-01
Description:
Bayesian hierarchical methods for the detection of differences in rates of related outcomes for multiple treatments for clustered observations. Theoretical background for the models is given in Carragher (2017) . The models in this package are extensions for multiple treatments and clusters. This software was developed for the Precision Drug Theraputics: Risk Prediction in Pharmacoepidemiology project as part of a Rutherford Fund Fellowship at Health Data Research (UK), Medical Research Council (UK) award reference MR/S003967/1 (). Principal Investigator: Raymond Carragher.
How to cite:
Raymond Carragher (2020). bhpm: Bayesian Hierarchical Poisson Models for Multiple Grouped Outcomes with Clustering. R package version 1.7, https://cran.r-project.org/web/packages/bhpm. Accessed 06 Apr. 2025.
Previous versions and publish date:
1.7 (2020-04-01 11:50)
Other packages that cited bhpm R package
View bhpm citation profile
Other R packages that bhpm depends, imports, suggests or enhances
Complete documentation for bhpm
Functions, R codes and Examples using the bhpm R package
Some associated functions:
Some associated R codes: bhpm.cluster.1a.hier2.R . bhpm.cluster.1a.hier2.lev0.R . bhpm.cluster.1a.hier2.lev0.convergence.R . bhpm.cluster.1a.hier2.lev0.summary.stats.R . bhpm.cluster.1a.hier2.lev1.R . bhpm.cluster.1a.hier2.lev1.convergence.R . bhpm.cluster.1a.hier2.lev1.summary.stats.R . bhpm.cluster.1a.hier3.R . bhpm.cluster.1a.hier3.lev0.R . bhpm.cluster.1a.hier3.lev0.convergence.R . bhpm.cluster.1a.hier3.lev0.summary.stats.R . bhpm.cluster.1a.hier3.lev1.R . bhpm.cluster.1a.hier3.lev1.convergence.R . bhpm.cluster.1a.hier3.lev1.summary.stats.R . bhpm.cluster.1a.hier3.lev2.R . bhpm.cluster.1a.hier3.lev2.convergence.R . bhpm.cluster.1a.hier3.lev2.summary.stats.R . bhpm.cluster.BB.hier2.R . bhpm.cluster.BB.hier2.lev0.R . bhpm.cluster.BB.hier2.lev0.convergence.R . bhpm.cluster.BB.hier2.lev0.summary.stats.R . bhpm.cluster.BB.hier2.lev1.R . bhpm.cluster.BB.hier2.lev1.convergence.R . bhpm.cluster.BB.hier2.lev1.summary.stats.R . bhpm.cluster.BB.hier3.R . bhpm.cluster.BB.hier3.lev0.R . bhpm.cluster.BB.hier3.lev0.convergence.R . bhpm.cluster.BB.hier3.lev0.summary.stats.R . bhpm.cluster.BB.hier3.lev1.R . bhpm.cluster.BB.hier3.lev1.convergence.R . bhpm.cluster.BB.hier3.lev1.summary.stats.R . bhpm.cluster.BB.hier3.lev2.R . bhpm.cluster.BB.hier3.lev2.convergence.R . bhpm.cluster.BB.hier3.lev2.summary.stats.R . bhpm.cluster.ptheta.R . bhpm.convergence.R . bhpm.gen.initial.values.R . bhpm.global.sim.param.defaults.R . bhpm.hyper.params.defaults.R . bhpm.monitor.defaults.R . bhpm.monitor.samples.R . bhpm.npm.R . bhpm.params.R . bhpm.pm.R . bhpm.pm.weights.R . bhpm.ptheta.R . bhpm.summary.stats.R . global.R .  Full bhpm package functions and examples
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