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 |
In views: | CausalInference |
CRAN checks: | bcf results |
Reference manual: | bcf.pdf |
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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