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) <10.18637/jss.v085.i07> for further details.

Version: 2.3
Depends: R (≥ 3.4.0), Rcpp (≥ 0.12.16), methods
Imports: rstan (≥ 2.17.3), rstantools (≥ 1.5.0), survival, loo
LinkingTo: StanHeaders (≥ 2.17.2), rstan (≥ 2.17.3), BH (≥ 1.66.0-1), Rcpp (≥ 0.12.16), RcppEigen (≥ 0.3.3.4.0)
Suggests: knitr, shiny, anoint, rmarkdown, pander, shinythemes, DT, testthat
Published: 2018-06-13
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

Downloads:

Reference manual: beanz.pdf
Vignettes: beanz: Bayesian Analysis of Heterogeneous Treatment Effect
Package source: beanz_2.3.tar.gz
Windows binaries: r-devel: beanz_2.3.zip, r-release: beanz_2.3.zip, r-oldrel: beanz_2.3.zip
OS X binaries: r-release: beanz_2.3.tgz, r-oldrel: beanz_2.2.tgz
Old sources: beanz archive

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