| 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 |