varPro
Model-Independent Variable Selection via the Rule-Based Variable Priority
A new framework of variable selection, which instead of generating artificial covariates such as permutation importance and knockoffs, creates release rules to examine the affect on the response for each covariate where the conditional distribution of the response variable can be arbitrary and unknown.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
3.1.0 |
rolling linux/jammy R-4.5 | varPro_3.1.0.tar.gz |
8.8 MiB |
3.1.0 |
rolling linux/noble R-4.5 | varPro_3.1.0.tar.gz |
8.8 MiB |
3.1.0 |
rolling source/ R- | varPro_3.1.0.tar.gz |
8.4 MiB |
3.1.0 |
latest linux/jammy R-4.5 | varPro_3.1.0.tar.gz |
8.8 MiB |
3.1.0 |
latest linux/noble R-4.5 | varPro_3.1.0.tar.gz |
8.8 MiB |
3.1.0 |
latest source/ R- | varPro_3.1.0.tar.gz |
8.4 MiB |
3.1.0 |
2026-04-26 source/ R- | varPro_3.1.0.tar.gz |
8.4 MiB |
3.1.0 |
2026-04-23 source/ R- | varPro_3.1.0.tar.gz |
8.4 MiB |
3.0.0 |
2026-04-09 windows/windows R-4.5 | varPro_3.0.0.zip |
8.9 MiB |