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>.
Version: 1.3.0 Depends: R (≥ 3.4.0) Imports: coda (≥ 0.4.0), ggcharts, ggplot2, invgamma, MCMCpack, Rcpp, rlang, rootSolve, stats LinkingTo: Rcpp Suggests: knitr, microbenchmark, rmarkdown Published: 2025-04-08 DOI: 10.32614/CRAN.package.bartcs Author: Yeonghoon Yoo [aut, cre] Maintainer: Yeonghoon Yoo <yooyh.stat at gmail.com> BugReports: https://github.com/yooyh/bartcs/issues License: GPL (≥ 3) URL: https://github.com/yooyh/bartcs NeedsCompilation: yes Citation: bartcs citation info Materials: README NEWS In views: Bayesian CRAN checks: bartcs results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=bartcs to link to this page.
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