Package: bartcs
Title: Bayesian Additive Regression Trees for Confounder Selection
Version: 1.2.2
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: 7.3.1
NeedsCompilation: yes
Packaged: 2024-05-01 12:38:45 UTC; yhoon
Author: Yeonghoon Yoo [aut, cre]
Maintainer: Yeonghoon Yoo <yooyh.stat@gmail.com>
Repository: CRAN
Date/Publication: 2024-05-01 13:00:02 UTC
Built: R 4.2.3; aarch64-apple-darwin20; 2024-05-01 16:32:29 UTC; unix
Archs: bartcs.so.dSYM
