custom_ics: Custom IC functions for stepwise models

In petersonR/sparseR: Variable Selection under Ranked Sparsity Principles for Interactions and Polynomials

Custom IC functions for stepwise models

Description

Custom IC functions for stepwise models

Usage

EBIC(...)

## Default S3 method:
EBIC(fit, varnames, pen_info, gammafn = NULL, return_df = TRUE, ...)

RBIC(fit, ...)

## Default S3 method:
RBIC(fit, varnames, pen_info, gammafn = NULL, return_df = TRUE, ...)

RAIC(fit, ...)

## Default S3 method:
RAIC(fit, varnames, pen_info, gammafn = NULL, return_df = TRUE, ...)

Arguments

...	additional args
fit	a fitted object
varnames	names of variables
pen_info	penalty information
gammafn	What to use for gamma in formula
return_df	should the deg. freedom be returned

Value

A vector of values for the criterion requested, and the degrees of freedom (appended to front of vector) if return_df == TRUE.

petersonR/sparseR documentation built on April 17, 2025, 11:41 p.m.