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: 2.0
Depends: R (≥ 3.3.0), Rcpp (≥ 0.12.5), rstan (≥ 2.10.1)
Imports: survival, methods, loo
LinkingTo: StanHeaders (≥ 2.11.0), rstan (≥ 2.14), BH (≥ 1.60.0), Rcpp (≥ 0.11.0), RcppEigen
Suggests: knitr, shiny, anoint, rmarkdown, pander, shinythemes, DT, testthat
Published: 2017-04-23
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
Materials: NEWS
CRAN checks: beanz results

Downloads:

Reference manual: beanz.pdf
Vignettes: beanz: Bayesian Analysis of Heterogeneous Treatment Effect
Package source: beanz_2.0.tar.gz
Windows binaries: r-devel: beanz_2.0.zip, r-release: beanz_2.0.zip, r-oldrel: beanz_2.0.zip
OS X El Capitan binaries: r-release: beanz_2.0.tgz
OS X Mavericks binaries: r-oldrel: beanz_2.0.tgz
Old sources: beanz archive

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