cr.backward: Backward Continuation Ratio Restructure Function

Description Usage Arguments Value Author(s) See Also Examples

View source: R/cr.backward.R

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

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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

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

glmnetcr documentation built on Sept. 8, 2017, 1:09 a.m.