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: 2026-10-09 11:21:59 UTC; root
Author: Yeonghoon Yoo [aut, cre]
Maintainer: Yeonghoon Yoo <yooyh.stat@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2025-04-08 02:30:02 UTC
RemoteUrl: https://github.com/cran/bartcs
RemoteRef: HEAD
RemoteSha: 7127bc934a60134ad34fb1a7a5edc7cebfdd11a7