Package: bartcs
Title: Bayesian Additive Regression Trees for Confounder Selection
Version: 1.3.0
Authors@R: 
    person("Yeonghoon", "Yoo", , "yooyh.stat@gmail.com", role = c("aut", "cre"))
Description: Fit Bayesian Regression Additive Trees (BART) models to
    select true confounders from a large set of potential confounders and
    to estimate average treatment effect. For more information, see Kim et
    al. (2023) <doi:10.1111/biom.13833>.
License: GPL (>= 3)
URL: https://github.com/yooyh/bartcs
BugReports: https://github.com/yooyh/bartcs/issues
Depends: R (>= 3.4.0)
Imports: coda (>= 0.4.0), ggcharts, ggplot2, invgamma, MCMCpack, Rcpp,
        rlang, rootSolve, stats
Suggests: knitr, microbenchmark, rmarkdown
LinkingTo: Rcpp
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
NeedsCompilation: yes
Packaged: 2025-04-08 00:45:44 UTC; rstudio
Author: Yeonghoon Yoo [aut, cre]
Maintainer: Yeonghoon Yoo <yooyh.stat@gmail.com>
Repository: CRAN
Date/Publication: 2025-04-08 02:30:02 UTC
Built: R 4.6.0; aarch64-apple-darwin23; 2026-04-26 16:21:15 UTC; unix
Archs: bartcs.so.dSYM
