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ordinalNet: Penalized Ordinal Regression

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 (2021) <doi:10.18637/jss.v099.i06>.

Version: 2.12
Imports: stats, graphics
Suggests: testthat (≥ 1.0.2), MASS (≥ 7.3-45), glmnet (≥ 2.0-5), penalized (≥ 0.9-50), VGAM (≥ 1.0-3), rms (≥ 5.1-0)
Published: 2022-03-22
DOI: 10.32614/CRAN.package.ordinalNet
Author: Michael Wurm [aut, cre], Paul Rathouz [aut], Bret Hanlon [aut]
Maintainer: Michael Wurm <wurm at uwalumni.com>
License: MIT + file LICENSE
NeedsCompilation: yes
Citation: ordinalNet citation info
CRAN checks: ordinalNet results

Documentation:

Reference manual: ordinalNet.pdf

Downloads:

Package source: ordinalNet_2.12.tar.gz
Windows binaries: r-devel: ordinalNet_2.12.zip, r-release: ordinalNet_2.12.zip, r-oldrel: ordinalNet_2.12.zip
macOS binaries: r-release (arm64): ordinalNet_2.12.tgz, r-oldrel (arm64): ordinalNet_2.12.tgz, r-release (x86_64): ordinalNet_2.12.tgz, r-oldrel (x86_64): ordinalNet_2.12.tgz
Old sources: ordinalNet archive

Reverse dependencies:

Reverse imports: CondCopulas, kosel, multiMarker, ordPens

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ordinalNet to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.