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

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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.0.5 by Kellie J. Archer, a month ago

Browse source code at

Authors: Kellie J. Archer

Documentation:   PDF Manual  

GPL-2 license

Depends on glmnet

Suggests tools

Suggested by ordinalNet.

See at CRAN