beanz

Bayesian Analysis of Heterogeneous Treatment Effect

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.

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Description file content

Package
beanz
Title
Bayesian Analysis of Heterogeneous Treatment Effect
Version
2.4
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)
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) for further details.
Depends
R (>= 3.4.0), Rcpp (>= 0.12.0), methods
Imports
rstan (>= 2.18.1), rstantools (>= 1.5.0), survival, loo
LinkingTo
StanHeaders (>= 2.18.0), rstan (>= 2.18.1), BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0)
RcppModules
stan_fit4nse_mod, stan_fit4fs_mod, stan_fit4sr_mod, stan_fit4bs_mod, stan_fit4srs_mod, stan_fit4ds_mod, stan_fit4eds_mod
LazyData
true
ByteCompile
true
SystemRequirements
GNU make
NeedsCompilation
yes
Suggests
knitr, shiny, rmarkdown, pander, shinythemes, DT, testthat
RoxygenNote
6.0.1
VignetteBuilder
knitr
Packaged
2018-11-05 20:27:36 UTC; cwang68
Repository
CRAN
Date/Publication
2018-11-05 21:30:03 UTC

install.packages('beanz')

2.4

11 days ago

Chenguang Wang

GPL (>= 3)

Depends on

R (>= 3.4.0), Rcpp (>= 0.12.0), methods

Imports

rstan (>= 2.18.1), rstantools (>= 1.5.0), survival, loo

Suggests

knitr, shiny, rmarkdown, pander, shinythemes, DT, testthat

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