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 |