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.

Documentation

Manual: ordinalNet.pdf
Vignette: None available.

Maintainer: Michael Wurm <wurm at wisc.edu>

Author(s): Michael Wurm*, Paul Rathouz*, Bret Hanlon*

Install package and any missing dependencies by running this line in your R console:

install.packages("ordinalNet")

Depends R (>= 3.3.2)
Imports stats (>= 3.3.2)
Suggests testthat(>=1.0.2), MASS(>=7.3-45), glmnet(>=2.0-5), penalized(>=0.9-50), glmnetcr(>=1.0.2), VGAM(>=1.0-3), rms(>=5.1-0)
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Package ordinalNet
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Version 2.0
Published 2017-05-08
License MIT + file LICENSE
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NeedsCompilation no
Citation
CRAN checks ordinalNet check results
Package source ordinalNet_2.0.tar.gz