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

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

## Documentation for package ‘glmnetcr’ version 1.0.7

- 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