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 regression pruning on the variance inflation factor (VIF) and the condition number, and exact graph-theoretic algorithms (Eppstein–Löffler–Strash, Bron–Kerbosch) for exhaustive subset enumeration. Supports linear models, generalized linear models (GLMs), and mixed models ('lme4', 'glmmTMB').

install.packages("corrselect")

Try the corrselect package in your browser