beanz: Bayesian Analysis of Heterogeneous Treatment Effect

It is vital to assess the heterogeneity of treatment effects (HTE) when making health care decisions for an individual patient or a group of patients. Nevertheless, it remains challenging to evaluate HTE based on information collected from clinical studies that are often designed and conducted to evaluate the efficacy of a treatment for the overall population. The Bayesian framework offers a principled and flexible approach to estimate and compare treatment effects across subgroups of patients defined by their characteristics. This package allows users to explore a wide range of Bayesian HTE analysis models, and produce posterior inferences about HTE. See Wang et al. (2018) <doi:10.18637/jss.v085.i07> for further details.

Version:	3.1
Depends:	R (≥ 3.4.0), Rcpp (≥ 0.12.0), methods
Imports:	rstan (≥ 2.18.1), rstantools (≥ 1.5.0), survival, loo, RcppParallel (≥ 5.0.1)
LinkingTo:	StanHeaders (≥ 2.18.0), rstan (≥ 2.18.1), BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1)
Suggests:	knitr, shiny, rmarkdown, pander, shinythemes, DT, testthat
Published:	2023-08-09
Author:	Chenguang Wang [aut, cre], Ravi Varadhan [aut], Trustees of Columbia University [cph] (tools/make_cpp.R, R/stanmodels.R)
Maintainer:	Chenguang Wang <cwang68 at jhmi.edu>
License:	GPL (≥ 3)
NeedsCompilation:	yes
SystemRequirements:	GNU make
Citation:	beanz citation info
Materials:	NEWS
CRAN checks:	beanz results

Documentation:

Reference manual:	beanz.pdf
Vignettes:	beanz: Bayesian Analysis of Heterogeneous Treatment Effect

Downloads:

Package source:	beanz_3.1.tar.gz
Windows binaries:	r-devel: beanz_3.1.zip, r-release: beanz_3.1.zip, r-oldrel: beanz_3.1.zip
macOS binaries:	r-release (arm64): beanz_3.1.tgz, r-oldrel (arm64): beanz_3.1.tgz, r-release (x86_64): beanz_3.1.tgz, r-oldrel (x86_64): beanz_3.1.tgz
Old sources:	beanz archive

Linking:

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