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) <doi:10.48550/arXiv.1309.1906>.
| Version: | 2.0.2 |
| 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 |
| Published: | 2024-02-27 |
| DOI: | 10.32614/CRAN.package.bcf |
| Author: | 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] |
| Maintainer: | Jared S. Murray <jared.murray at mccombs.utexas.edu> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| SystemRequirements: | GNU make |
| Language: | en-US |
| Citation: | bcf citation info |
| Materials: | README,NEWS |
| CRAN checks: | bcf results |