model.select: Step of Optimal Fitted AIC or BIC CR Model.

In kelliejarcher/glmpathcr: Fit a Penalized Continuation Ratio Model for Predicting an Ordinal Response

Step of Optimal Fitted AIC or BIC CR Model.

Description

This function returns the step number associated with the minimum AIC and BIC models for a glmpathcr object and so can be used in selecting the step number for calls to functions such as coef.glmpathcr and predict.glmpathcr.

Usage

model.select(object, which = "BIC")

Arguments

object	a glmpathcr object
which	determines whether the step is associated with the optimal which="BIC" model or which="AIC" model

Value

A numeric value of length one representing the step number

Author(s)

Kellie J. Archer, [e-mail]

See Also

See also as coef.glmpathcr, predict.glmpathcr

Examples

data(diabetes)
x <- diabetes[, 2:dim(diabetes)[2]]
y <- diabetes$y
fit <- glmpathcr(x, y)
model.select(fit, which="AIC")

kelliejarcher/glmpathcr documentation built on April 26, 2022, 5:59 p.m.