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

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Documentation for package ‘glmnetcr’ version 1.0.6

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

glmnetcr-package	Penalized Constrained Continuation Ratio Models for Ordinal Response Prediction using 'glmnet'
coef.glmnetcr	Extract All Model Coefficients
diabetes	Gene Expression in Normal, Impaired Fasting Glucose, and Type II Diabetic Males
fitted.glmnetcr	AIC, BIC, Predicted Class, and Fitted Probabilities of Class Membership
glmnetcr	Fit a Penalized Constrained Continuation Ratio Model Using Lasso or Elasticnet Regularization Via 'glmnet'
nonzero.glmnetcr	Extract Non-Zero Model Coefficients
plot.glmnetcr	Plots the Regularization Path Computed
predict.glmnetcr	AIC, BIC, Predicted Class, and Fitted Probabilities for All Models
print.glmnetcr	Print a 'glmnetcr' Object
select.glmnetcr	Select Step of Optimal Fitted AIC or BIC CR Model