Package: bartcs
Title: Bayesian Additive Regression Trees for Confounder Selection
Version: 0.1.2
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: 7.2.1
NeedsCompilation: yes
Packaged: 2022-08-05 17:14:52 UTC; yhoon
Author: Yeonghoon Yoo [aut, cre]
Maintainer: Yeonghoon Yoo <yooyh.stat@gmail.com>
Repository: CRAN
Date/Publication: 2022-08-06 07:30:13 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-03-08 19:55:31 UTC; windows
Archs: i386, x64
