ordinalNet: Penalized Ordinal Regression
Version 2.1

Fits ordinal regression models with elastic net penalty. Supported model families include cumulative probability, stopping ratio, continuation ratio, and adjacent category. These families are a subset of vector glm's which belong to a model class we call the elementwise link multinomial-ordinal (ELMO) class. Each family in this class links a vector of covariates to a vector of class probabilities. Each of these families has a parallel form, which is appropriate for ordinal response data, as well as a nonparallel form that is appropriate for an unordered categorical response, or as a more flexible model for ordinal data. The parallel model has a single set of coefficients, whereas the nonparallel model has a set of coefficients for each response category except the baseline category. It is also possible to fit a model with both parallel and nonparallel terms, which we call the semi-parallel model. The semi-parallel model has the flexibility of the nonparallel model, but the elastic net penalty shrinks it toward the parallel model.

Getting started

Package details

AuthorMichael Wurm [aut, cre], Paul Rathouz [aut], Bret Hanlon [aut]
Date of publication2017-08-19 04:09:27 UTC
MaintainerMichael Wurm <wurm@wisc.edu>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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ordinalNet documentation built on Aug. 19, 2017, 9:02 a.m.