precmed
Precision Medicine
A doubly robust precision medicine approach to fit, cross-validate and visualize prediction models for the conditional average treatment effect (CATE). It implements doubly robust estimation and semiparametric modeling approach of treatment-covariate interactions as proposed by Yadlowsky et al. (2020) <doi:10.1080/01621459.2020.1772080>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.0 |
rolling linux/jammy R-4.5 | precmed_1.1.0.tar.gz |
1.0 MiB |
1.1.0 |
rolling linux/noble R-4.5 | precmed_1.1.0.tar.gz |
1.0 MiB |
1.1.0 |
rolling source/ R- | precmed_1.1.0.tar.gz |
573.2 KiB |
1.1.0 |
latest linux/jammy R-4.5 | precmed_1.1.0.tar.gz |
1.0 MiB |
1.1.0 |
latest linux/noble R-4.5 | precmed_1.1.0.tar.gz |
1.0 MiB |
1.1.0 |
latest source/ R- | precmed_1.1.0.tar.gz |
573.2 KiB |
1.1.0 |
2026-04-26 source/ R- | precmed_1.1.0.tar.gz |
573.2 KiB |
1.1.0 |
2026-04-23 source/ R- | precmed_1.1.0.tar.gz |
573.2 KiB |
1.1.0 |
2026-04-09 windows/windows R-4.5 | precmed_1.1.0.zip |
1.0 MiB |
1.1.0 |
2025-04-20 source/ R- | precmed_1.1.0.tar.gz |
573.2 KiB |