Bayesian Additive Regression Trees for Confounder Selection R package bartcs version 1.3.0 CRAN Task View: Bayesian (https://CRAN.R-project.org/view=Bayesian) 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>. Software Depends: R (>= 3.4.0) Imports: coda (>= 0.4.0), ggcharts, ggplot2, invgamma, MCMCpack, Rcpp, rlang, rootSolve, stats LinkingTo: Rcpp Suggests: knitr, microbenchmark, rmarkdown Yeonghoon Yoo <yooyh.stat@gmail.com> Comprehensive R Archive Network (CRAN) Yeonghoon Yoo [aut, cre] GPL (>= 3) 2025-04-08 application/tgz https://CRAN.R-project.org/package=bartcs doi:10.32614/CRAN.package.bartcs