cr.backward: Backward Continuation Ratio Restructure Function

In glmnetcr: Fit a Penalized Constrained Continuation Ratio Model for Predicting an Ordinal Response

Backward Continuation Ratio Restructure Function

Description

This is an internal function used by glmnetcr to restructure an ordinal dataset to represent the K-1 conditionally independent likelihoods needed for fitting a backrward continuation ratio model

Usage

cr.backward(x, y, weights)

Arguments

x	covariates to be included in the model
y	ordinal outcome
weights	observation weights. Can be total counts if responses are proportion matrices. Default is 1 for each observation

Value

object

Yields an object where the first column y is the ordinal outcome that has been dichotomously coded and the expanded covariate matrix for the K-1 conditionally independent likelihoods

Author(s)

Kellie J. Archer

See Also

See Also as cr.forward, glmnetcr

Examples

data(diabetes)
x <- diabetes[,2:dim(diabetes)[2]]
y <- diabetes$y
fit <- glmnetcr(x, y, method = "backward")

glmnetcr documentation built on April 12, 2025, 1:20 a.m.