Fit a Penalized Continuation Ratio Model for Predicting an Ordinal Response


[Up] [Top]

Documentation for package ‘glmpathcr’ version 1.0.10

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