Package: bartcs
Title: Bayesian Additive Regression Trees for Confounder Selection
Version: 1.0.0
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: 
    ggcharts,
    ggplot2,
    invgamma,
    MCMCpack,    
    Rcpp (>= 0.11.0),
    rlang,
    rootSolve,
    stats
Suggests: 
    knitr,
    microbenchmark,
    rmarkdown
LinkingTo: 
    Rcpp
VignetteBuilder: 
    knitr
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
