I decided to use RFE using the caret package for feature selection for a logistic regression model.
The documentation says the Varimp for linear model uses
the absolute value of the t-statistic for each model parameter is used.
Logistic regression is not a linear model or has any of the linear model assumptions. Does it make sense to use linear model assumptions to reduce variables for a logistic regression problem using the caret package?