bcf: Causal Inference using Bayesian Causal Forests (original) (raw)
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:
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:
NeedsCompilation:
yes
SystemRequirements:
GNU make
Language:
en-US
Citation:
Materials:
CRAN checks: