bcf: Causal Inference for a Binary Treatment and Continuous Outcome using Bayesian Causal Forests

Causal inference for a binary treatment and continuous outcome using Bayesian Causal Forests. See Hahn, Murray and Carvalho (2017) <arXiv:1706.09523> for additional information. This implementation relies on code originally accompanying Pratola et. al. (2013) <arXiv:1309.1906>.

Version:	1.3.1
Depends:	Rcpp (≥ 0.10.4)
LinkingTo:	Rcpp, RcppArmadillo
Published:	2022-01-18
Author:	P. Richard Hahn, Jared S. Murray, and Carlos Carvalho
Maintainer:	Jared S. Murray <jared.murray at mccombs.utexas.edu>
License:	GPL-3
NeedsCompilation:	yes
Citation:	bcf citation info
Materials:	README
CRAN checks:	bcf results

Documentation:

Reference manual:

bcf.pdf

Downloads:

Package source:	bcf_1.3.1.tar.gz
Windows binaries:	r-devel: bcf_1.3.1.zip, r-release: bcf_1.3.1.zip, r-oldrel: bcf_1.3.1.zip
macOS binaries:	r-release (arm64): bcf_1.3.1.tgz, r-oldrel (arm64): bcf_1.3.1.tgz, r-release (x86_64): bcf_1.3.1.tgz, r-oldrel (x86_64): bcf_1.3.1.tgz
Old sources:	bcf archive

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