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) <arXiv:1706.05003>.

Version: | 2.4 |

Imports: | stats, graphics |

Suggests: | testthat (≥ 1.0.2), MASS (≥ 7.3-45), glmnet (≥ 2.0-5), penalized (≥ 0.9-50), glmnetcr (≥ 1.0.3), VGAM (≥ 1.0-3), rms (≥ 5.1-0) |

Published: | 2017-12-05 |

Author: | Michael Wurm [aut, cre], Paul Rathouz [aut], Bret Hanlon [aut] |

Maintainer: | Michael Wurm <wurm at uwalumni.com> |

License: | MIT + file LICENSE |

NeedsCompilation: | no |

CRAN checks: | ordinalNet results |

Reference manual: | ordinalNet.pdf |

Package source: | ordinalNet_2.4.tar.gz |

Windows binaries: | r-devel: ordinalNet_2.4.zip, r-release: ordinalNet_2.4.zip, r-oldrel: ordinalNet_2.4.zip |

OS X binaries: | r-release: ordinalNet_2.4.tgz, r-oldrel: ordinalNet_2.4.tgz |

Old sources: | ordinalNet archive |

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