Package: ordinalNet 2.12

Michael Wurm

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>.

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

ordinalNet_2.12.tar.gz
ordinalNet_2.12.tar.gz(r-4.5-noble)ordinalNet_2.12.tar.gz(r-4.4-noble)
ordinalNet_2.12.tgz(r-4.4-emscripten)ordinalNet_2.12.tgz(r-4.3-emscripten)
ordinalNet.pdf |ordinalNet.html✨
ordinalNet/json (API)

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3 exports 1 stars 1.64 score 0 dependencies 4 dependents 2 mentions 25 scripts 502 downloads

Last updated 2 years agofrom:331e53f31a. Checks:OK: 2. Indexed: yes.

Exports:ordinalNetordinalNetCVordinalNetTune

Dependencies: