Fit a Penalized Constrained Continuation Ratio Model for
Predicting an Ordinal Response
Description
Penalized methods are useful for fitting over-parameterized models. This package includes functions for restructuring an ordinal
response dataset for fitting continuation ratio models for datasets where the number of covariates exceeds the sample size or when
there is collinearity among the covariates. The 'glmnet' fitting algorithm is used to fit the continuation ratio model after data restructuring.