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
| Version | Repository | File | Size |
|---|---|---|---|
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 |