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.
|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|
|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)|
|CRAN checks:||beanz results|
beanz: Bayesian Analysis of Heterogeneous Treatment Effect
|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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