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

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

## Documentation for package ‘glmpathcr’ version 1.0.10

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

## Help Pages

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