bartcs
Bayesian Additive Regression Trees for Confounder Selection
Fit Bayesian Regression Additive Trees (BART) models to select true confounders from a large set of potential confounders and to estimate average treatment effect. For more information, see Kim et al. (2023) <doi:10.1111/biom.13833>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.3.0 |
rolling linux/jammy R-4.5 | bartcs_1.3.0.tar.gz |
292.4 KiB |
1.3.0 |
rolling linux/noble R-4.5 | bartcs_1.3.0.tar.gz |
294.2 KiB |
1.3.0 |
rolling source/ R- | bartcs_1.3.0.tar.gz |
1.6 MiB |
1.3.0 |
latest linux/noble R-4.5 | bartcs_1.3.0.tar.gz |
294.2 KiB |
1.3.0 |
latest source/ R- | bartcs_1.3.0.tar.gz |
1.6 MiB |
1.3.0 |
latest linux/jammy R-4.5 | bartcs_1.3.0.tar.gz |
292.4 KiB |
1.3.0 |
2026-04-26 source/ R- | bartcs_1.3.0.tar.gz |
1.6 MiB |
1.3.0 |
2026-04-23 source/ R- | bartcs_1.3.0.tar.gz |
1.6 MiB |
1.3.0 |
2026-04-09 windows/windows R-4.5 | bartcs_1.3.0.zip |
697.7 KiB |
1.3.0 |
2025-04-20 source/ R- | bartcs_1.3.0.tar.gz |
1.6 MiB |