beanz: Bayesian Analysis of Heterogeneous Treatment Effect (original) (raw)
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) <doi:10.18637/jss.v085.i07> for further details.
| Version: | 3.1 |
|---|---|
| Depends: | R (≥ 3.4.0), Rcpp (≥ 0.12.0), methods |
| Imports: | rstan (≥ 2.18.1), rstantools (≥ 1.5.0), survival, loo, RcppParallel (≥ 5.0.1) |
| LinkingTo: | StanHeaders (≥ 2.18.0), rstan (≥ 2.18.1), BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1) |
| Suggests: | knitr, shiny, rmarkdown, pander, shinythemes, DT, testthat |
| Published: | 2023-08-09 |
| DOI: | 10.32614/CRAN.package.beanz |
| Author: | Chenguang Wang [aut, cre], Ravi Varadhan [aut], Trustees of Columbia University [cph] (tools/make_cpp.R, R/stanmodels.R) |
| Maintainer: | Chenguang Wang |
| License: | GPL (≥ 3) |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Citation: | beanz citation info |
| Materials: | NEWS |
| CRAN checks: | beanz results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=beanzto link to this page.