Package: bartcs
Title: Bayesian Additive Regression Trees for Confounder Selection
Version: 0.1.1
Authors@R: 
    person("Yeonghoon", "Yoo", , "yooyh.stat@gmail.com", role = c("aut", "cre"))
Description: Fit Bayesian Regression Additive Trees (BART) models to
    select relevant confounders among a large set of potential confounders
    and to estimate average treatment effect. For more information, see
    Kim et al. (2022) <doi:10.48550/arXiv.2203.11798>.
License: GPL (>= 3)
URL: https://github.com/yooyh/bartcs
BugReports: https://github.com/yooyh/bartcs/issues
Depends: R (>= 2.10)
Imports: ggcharts, ggplot2, invgamma, MCMCpack, Rcpp, rlang, rootSolve,
        stats
Suggests: knitr, microbenchmark, rmarkdown
LinkingTo: Rcpp
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.0
NeedsCompilation: yes
Packaged: 2022-07-18 05:52:07 UTC; yhoon
Author: Yeonghoon Yoo [aut, cre]
Maintainer: Yeonghoon Yoo <yooyh.stat@gmail.com>
Repository: CRAN
Date/Publication: 2022-07-19 14:50:05 UTC
