'parsnip' Engines and Wrappers for Ordinal Classification Models R package ordered version 0.1.0 Bindings, methods, and tuners for using ordinal classification models with the 'parsnip' and 'dials' packages. These include the regularized elastic net ordinal regression of Wurm, Hanlon, and Rathouz (2021) <doi:10.18637/jss.v099.i06> in 'ordinalNet', the ordinal classification trees of Galimberti, Soffritti, and Di Maso (2012) <doi:10.18637/jss.v047.i10> in 'rpartScore', and the latent variable ordinal forests of Hornung (2020) <doi:10.1007/s00357-018-9302-x> in 'ordinalForest'. Software Depends: parsnip (>= 1.5) Imports: cli, dials (>= 1.4.3), purrr, rlang (>= 1.1.4), tibble, tidyr Suggests: dplyr, MASS, ordinalNet, VGAM, rpartScore, ordinalForest, QSARdata, spelling, testthat (>= 3.0.0) Jason Cory Brunson <cornelioid@gmail.com> Comprehensive R Archive Network (CRAN) Max Kuhn [aut] (ORCID: <https://orcid.org/0000-0003-2402-136X>), Jason Cory Brunson [aut, cre] (ORCID: <https://orcid.org/0000-0003-3126-9494>), Posit Software PBC [cph] MIT + file LICENSE (https://CRAN.R-project.org/package=ordered/LICENSE) 2026-04-21 application/tgz https://CRAN.R-project.org/package=ordered doi:10.32614/CRAN.package.ordered en-US