Causal Inference using Bayesian Causal Forests R package bcf version 2.0.2 Causal inference for a binary treatment and continuous outcome using Bayesian Causal Forests. See Hahn, Murray and Carvalho (2020) <doi:10.1214/19-BA1195> for additional information. This implementation relies on code originally accompanying Pratola et. al. (2013) <arXiv:1309.1906>. Software Imports: Rcpp, RcppParallel, coda (>= 0.19.3), Hmisc, parallel, doParallel, foreach, matrixStats LinkingTo: Rcpp, RcppArmadillo, RcppParallel Suggests: testthat, spelling, knitr, rmarkdown, latex2exp, ggplot2, rpart, rpart.plot, partykit Jared S. Murray <jared.murray@mccombs.utexas.edu> Comprehensive R Archive Network (CRAN) Jared S. Murray [aut, cre], P. Richard Hahn [aut], Carlos Carvalho [aut], Peter Mariani [ctb], Constance Delannoy [ctb], Mariel Finucane [ctb], Lauren V. Forrow [ctb], Drew Herren [ctb] GPL-3 2024-02-27 application/tgz https://CRAN.R-project.org/package=bcf doi:10.32614/CRAN.package.bcf en-US