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bhpm

Bayesian Hierarchical Poisson Models for Multiple Grouped Outcomes with Clustering

Installation

About

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.

Key Metrics

Version 1.7
Published 2020-04-01 1479 days ago
Needs compilation? yes
License GPL-2
License GPL-3
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Maintainer

Maintainer

Raymond Carragher

raymond.carragher@strath.ac.uk

Authors

Raymond Carragher

aut / cre

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

coda