corrselect
Correlation-Based and Model-Based Predictor Pruning
Provides functions for predictor pruning using association-based and model-based approaches. Includes corrPrune() for fast correlation-based pruning, modelPrune() for VIF-based regression pruning, and exact graph-theoretic algorithms (Eppstein–Löffler–Strash, Bron–Kerbosch) for exhaustive subset enumeration. Supports linear models, GLMs, and mixed models ('lme4', 'glmmTMB').
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
3.2.1 |
rolling linux/jammy R-4.5 | corrselect_3.2.1.tar.gz |
708.8 KiB |
3.2.1 |
rolling linux/noble R-4.5 | corrselect_3.2.1.tar.gz |
711.7 KiB |
3.2.1 |
rolling source/ R- | corrselect_3.2.1.tar.gz |
2.3 MiB |
3.2.1 |
latest linux/jammy R-4.5 | corrselect_3.2.1.tar.gz |
708.8 KiB |
3.2.1 |
latest linux/noble R-4.5 | corrselect_3.2.1.tar.gz |
711.7 KiB |
3.2.1 |
latest source/ R- | corrselect_3.2.1.tar.gz |
2.3 MiB |
3.2.1 |
2026-04-26 source/ R- | corrselect_3.2.1.tar.gz |
2.3 MiB |
3.2.1 |
2026-04-23 source/ R- | corrselect_3.2.1.tar.gz |
2.3 MiB |
3.2.1 |
2026-04-09 windows/windows R-4.5 | corrselect_3.2.1.zip |
1.0 MiB |