ordinalNet: Penalized Ordinal Regression
Version 2.0

Fits ordinal regression models with elastic net penalty by coordinate descent. 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 [ths], Bret Hanlon [ths]
Date of publication2017-05-08 21:16:59 UTC
MaintainerMichael Wurm <wurm@wisc.edu>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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ordinalNet documentation built on May 29, 2017, 10:29 p.m.