ordinalNet: Penalized Ordinal Regression
Version 2.4

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. For details, refer to Wurm, Hanlon, and Rathouz (2017) .

Getting started

Package details

AuthorMichael Wurm [aut, cre], Paul Rathouz [aut], Bret Hanlon [aut]
Date of publication2017-12-05 10:55:42 UTC
MaintainerMichael Wurm <[email protected]>
LicenseMIT + file LICENSE
Version2.4
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("ordinalNet")

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ordinalNet documentation built on Dec. 5, 2017, 5:06 p.m.