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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 <cwang68 at jhmi.edu> |
License: | GPL (≥ 3) |
NeedsCompilation: | yes |
SystemRequirements: | GNU make |
Citation: | beanz citation info |
Materials: | NEWS |
CRAN checks: | beanz results |
Reference manual: | beanz.pdf |
Vignettes: |
beanz: Bayesian Analysis of Heterogeneous Treatment Effect |
Package source: | beanz_3.1.tar.gz |
Windows binaries: | r-devel: beanz_3.1.zip, r-release: beanz_3.1.zip, r-oldrel: beanz_3.1.zip |
macOS binaries: | r-release (arm64): beanz_3.1.tgz, r-oldrel (arm64): beanz_3.1.tgz, r-release (x86_64): beanz_3.1.tgz, r-oldrel (x86_64): beanz_3.1.tgz |
Old sources: | beanz archive |
Please use the canonical form https://CRAN.R-project.org/package=beanz to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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