Package: ordinalNet Type: Package Title: Penalized Ordinal Regression Version: 2.14 Authors@R: c( person("Michael", "Wurm", email = "wurm@uwalumni.com", role = c("aut", "cre")), person("Paul", "Rathouz", email = "rathouz@biostat.wisc.edu", role = "aut"), person("Bret", "Hanlon", email = "hanlon@stat.wisc.edu", role = "aut")) Description: 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) . License: MIT + file LICENSE 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) RoxygenNote: 7.3.3 Encoding: UTF-8 NeedsCompilation: no Packaged: 2026-07-13 07:40:17 UTC; root Author: Michael Wurm [aut, cre], Paul Rathouz [aut], Bret Hanlon [aut] Maintainer: Michael Wurm Repository: https://cran.r-universe.dev Date/Publication: 2026-02-13 07:00:08 UTC RemoteUrl: https://github.com/cran/ordinalNet RemoteRef: HEAD RemoteSha: cbb6aeed84ebe2c09dd087d640ce84ea891321f0