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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>.

Type Size Name Uploaded Downloads Labels
conda 159.2 kB | linux-64/r-bcf-1.3.1-r42h884c59f_0.tar.bz2  2 years and 8 months ago 61 main
conda 163.0 kB | win-64/r-bcf-1.2.1-r36h796a38f_0.tar.bz2  4 years and 11 months ago 54 main
conda 162.1 kB | osx-64/r-bcf-1.2.1-r36h466af19_0.tar.bz2  4 years and 11 months ago 20 main
conda 162.9 kB | linux-64/r-bcf-1.2.1-r36h29659fb_0.tar.bz2  4 years and 11 months ago 63 main

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