Get variable importance for Logistic Regression and Random Forest

This function makes life simple by automatically interpreting logistic regression and random forest models. The interpretation techniques for logistic regression are ANOVA Type-I and variants of ANOVA Type-II (i.e., Wald, Chisq, and F). The interpretation techniques for random forest are Gini and Permutation (i.e., Scaled and Raw) importance.

get.importance(model, normalized = F)

Arguments

model	a logistic regression or random forest model
normalized	a logical to indicate whether to normalize importance scores