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.

Version: 1.7
Depends: R (≥ 3.3.1), Rcpp (≥ 0.12.5)
Imports: rstan (≥ 2.10.1), methods, survival
LinkingTo: StanHeaders (≥ 2.11.0), rstan (≥ 2.10.1), BH (≥ 1.60.0), Rcpp (≥ 0.11.0), RcppEigen
Suggests: knitr, shiny, anoint, rmarkdown, pander, shinythemes, DT
Published: 2016-10-17
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>
License: GPL (≥ 3)
NeedsCompilation: yes
CRAN checks: beanz results


Reference manual: beanz.pdf
Vignettes: beanz: Bayesian Analysis of Heterogeneous Treatment Effect
Package source: beanz_1.7.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: beanz_1.0.tgz, r-oldrel: beanz_1.0.tgz
Old sources: beanz archive


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