Package: beanz
Title: Bayesian Analysis of Heterogeneous Treatment Effect
Version: 1.7.1
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 (>= 3.3.1), Rcpp (>= 0.12.5)
License: GPL (>= 3)
LinkingTo: StanHeaders (>= 2.11.0), rstan (>= 2.10.1), BH (>= 1.60.0),
        Rcpp (>= 0.11.0), 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: rstan (>= 2.10.1), methods, survival
Suggests: knitr, shiny, anoint, rmarkdown, pander, shinythemes, DT
RoxygenNote: 5.0.1
VignetteBuilder: knitr
Packaged: 2016-11-14 04:52:23 UTC; cwang68
Repository: CRAN
Date/Publication: 2016-11-14 11:15:01
Built: R 3.3.2; x86_64-w64-mingw32; 2016-12-02 04:56:40 UTC; windows
Archs: i386, x64
