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bcf

Causal Inference using Bayesian Causal Forests

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) <arXiv:1309.1906>.

Versions across snapshots

VersionRepositoryFileSize
2.0.2 rolling linux/jammy R-4.5 bcf_2.0.2.tar.gz 902.5 KiB
2.0.2 rolling linux/noble R-4.5 bcf_2.0.2.tar.gz 906.6 KiB
2.0.2 rolling source/ R- bcf_2.0.2.tar.gz 1.3 MiB
2.0.2 latest linux/jammy R-4.5 bcf_2.0.2.tar.gz 902.5 KiB
2.0.2 latest linux/noble R-4.5 bcf_2.0.2.tar.gz 906.6 KiB
2.0.2 latest source/ R- bcf_2.0.2.tar.gz 1.3 MiB
2.0.2 2026-04-26 source/ R- bcf_2.0.2.tar.gz 1.3 MiB
2.0.2 2026-04-23 source/ R- bcf_2.0.2.tar.gz 1.3 MiB
2.0.2 2026-04-09 windows/windows R-4.5 bcf_2.0.2.zip 1.2 MiB
2.0.2 2025-04-20 source/ R- bcf_2.0.2.tar.gz 1.3 MiB

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