Package: beanz
Title: Bayesian Analysis of Heterogeneous Treatment Effect
Version: 3.1
Author: Chenguang Wang [aut, cre],
    Ravi Varadhan [aut],
    Trustees of Columbia University [cph] (tools/make_cpp.R, R/stanmodels.R)
Maintainer: Chenguang Wang <cwang68@jhmi.edu>
License: GPL (>= 3)
Description: 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.
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)
LazyData: true
ByteCompile: true
SystemRequirements: GNU make
NeedsCompilation: yes
Suggests: knitr, shiny, rmarkdown, pander, shinythemes, DT, testthat
RoxygenNote: 7.2.3
VignetteBuilder: knitr
Packaged: 2023-08-08 01:42:15 UTC; zilu
Repository: CRAN
Date/Publication: 2023-08-09 10:30:13 UTC
Built: R 4.5.0; x86_64-apple-darwin20; 2025-04-03 12:22:12 UTC; unix
Archs: beanz.so.dSYM
