R: SODA: Main and Interaction Effects Selection for Logistic Regression, Quadratic Discriminant and General Index Models

# SODA: Main and Interaction Effects Selection for Logistic Regression, Quadratic Discriminant and General Index Models

## Documentation for package ‘sodavis’ version 1.2

- DESCRIPTION file

## Help Pages

mich_lung_xx | Gene expression data for Michigan lung cancer study in Beer et al. (2002)
mich_lung_yy | Gene expression data for Michigan lung cancer study in Beer et al. (2002)
pumadyn_isample_x | Pumadyn dataset
pumadyn_isample_y | Pumadyn dataset
pumadyn_osample_x | Pumadyn dataset
pumadyn_osample_y | Pumadyn dataset
soda | SODA algorithm for variable and interaction selection
soda_trace_CV | Calculate a trace of cross-validation error rate for SODA forward-backward procedure
s_soda | S-SODA algorithm for general index model variable selection
s_soda_model | S-SODA model estimation.
s_soda_pred | Predict the response y using S-SODA model.
s_soda_pred_grid | Predict the response y using S-SODA model in a 2-dimensional grid.