s_soda_pred_grid

S-SODA model estimated from s_soda_model.

model

Order of terms in X to approximate E(y | slice(y)=h, X).

Calls function s_soda_pred in a 2-dimensional grid defined by x1 and x2.

 prediction

 S-SODA 

Variable and interaction selection are essential to classification in high-dimensional setting. In this package, we provide the implementation of SODA procedure, which is a forward-backward algorithm that selects both main and interaction effects under logistic regression and quadratic discriminant analysis. We also provide an extension, S-SODA, for dealing with the variable selection problem for semi-parametric models with continuous responses.

s_soda_pred_grid: Predict the response y using S-SODA model in a 2-dimensional grid.

Description

Usage

Arguments

Value