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: | 2.1 |
| Depends: | R (≥ 3.3.0), Rcpp (≥ 0.12.5), rstan (≥ 2.14.2) |
| Imports: | survival, methods, loo |
| LinkingTo: | StanHeaders (≥ 2.14.0), rstan (≥ 2.14.2), BH (≥ 1.62.0), Rcpp (≥ 0.12.5), RcppEigen |
| Suggests: | knitr, shiny, anoint, rmarkdown, pander, shinythemes, DT, testthat |
| Published: | 2017-05-07 |
| 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 |
| Reference manual: | beanz.pdf |
| Vignettes: |
beanz: Bayesian Analysis of Heterogeneous Treatment Effect |
| Package source: | beanz_2.1.tar.gz |
| Windows binaries: | r-devel: beanz_2.1.zip, r-release: beanz_2.1.zip, r-oldrel: beanz_2.1.zip |
| OS X El Capitan binaries: | r-release: beanz_2.1.tgz |
| OS X Mavericks binaries: | r-oldrel: beanz_2.1.tgz |
| Old sources: | beanz archive |
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