ordinalNet (2.4)
Penalized Ordinal Regression.
http://cran.rproject.org/web/packages/ordinalNet
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 multinomialordinal (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 semiparallel model. The semiparallel 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) .
Maintainer:
Michael Wurm
Author(s): Michael Wurm [aut, cre], Paul Rathouz [aut], Bret Hanlon [aut]
License: MIT + file LICENSE
Uses: VGAM, penalized, glmnet, rms, MASS, testthat, glmnetcr
Released 3 months ago.
9 previous versions
 ordinalNet_2.3. Released 6 months ago.
 ordinalNet_2.2. Released 7 months ago.
 ordinalNet_2.1. Released 7 months ago.
 ordinalNet_2.0. Released 10 months ago.
 ordinalNet_1.5. Released over 1 year ago.
 ordinalNet_1.4. Released over 2 years ago.
 ordinalNet_1.3. Released over 2 years ago.
 ordinalNet_1.2. Released over 2 years ago.
 ordinalNet_1.1. Released over 2 years ago.
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