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
Depends: Rcpp (≥ 0.10.4)
LinkingTo: Rcpp, RcppArmadillo
Published: 2019-08-28
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

Downloads:

Reference manual: bcf.pdf
Package source: bcf_1.3.tar.gz
Windows binaries: r-devel: bcf_1.3.zip, r-devel-gcc8: bcf_1.3.zip, r-release: bcf_1.3.zip, r-oldrel: bcf_1.3.zip
OS X binaries: r-release: bcf_1.3.tgz, r-oldrel: bcf_1.3.tgz
Old sources: bcf archive

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