Package: beanz
Title: Bayesian Analysis of Heterogeneous Treatment Effect
Version: 2.1
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>
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.
Depends: R (>= 3.3.0), Rcpp (>= 0.12.5), rstan (>= 2.14.2)
License: GPL (>= 3)
LinkingTo: StanHeaders (>= 2.14.0), rstan (>= 2.14.2), BH (>= 1.62.0),
        Rcpp (>= 0.12.5), RcppEigen
RcppModules: stan_fit4nse_mod, stan_fit4fs_mod, stan_fit4sr_mod,
        stan_fit4bs_mod, stan_fit4srs_mod, stan_fit4ds_mod,
        stan_fit4eds_mod
LazyData: true
NeedsCompilation: yes
Imports: survival, methods, loo
Suggests: knitr, shiny, anoint, rmarkdown, pander, shinythemes, DT,
        testthat
RoxygenNote: 5.0.1
VignetteBuilder: knitr
Packaged: 2017-05-06 21:02:19 UTC; cwang68
Repository: CRAN
Date/Publication: 2017-05-07 06:06:06 UTC
Built: R 3.3.2; x86_64-apple-darwin13.4.0; 2017-05-08 12:55:10 UTC; unix
Archs: beanz.so.dSYM
