| glmpathcr-package | Fit a Penalized Continuation Ratio Model for Predicting an Ordinal Response: Penalized L1 continuation Ratio Models for Ordinal Response Prediction in High-dimensional Data Settings | 
| coef.glmpathcr | Extract All Model Coefficients | 
| diabetes | Gene Expression in Normal, Impaired Fasting Glucose, and Type II Diabetic Males | 
| fitted.glmpathcr | Predicted Class and Fitted Probabilities from glmpathcr Object | 
| glmpathcr | Fit Penalized Continuation Ratio Model | 
| model.select | Step of Optimal Fitted AIC or BIC CR Model. | 
| nonzero.coef | Extract Non-Zero Model Coefficients | 
| plot.glmpathcr | Plots the Regularization Path Computed from glmpathcr | 
| predict.glmpathcr | Predicted Class and Fitted Probabilities from glmpathcr Object | 
| summary.glmpathcr | Summarize a glmpathcr Object |