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

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install.packages("glmnetcr")

1.0.7 by Kellie J. Archer, a year ago


Browse source code at https://github.com/cran/glmnetcr


Authors: Kellie J. Archer [aut, cre]


Documentation:   PDF Manual  


GPL-2 license


Depends on glmnet

Suggests tools


Imported by BlockMissingData.


See at CRAN