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ordered: 'parsnip' Engines and Wrappers for Ordinal Classification Models

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'.

Version: 0.1.0
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)
Published: 2026-04-21
DOI: 10.32614/CRAN.package.ordered
Author: Max Kuhn ORCID iD [aut], Jason Cory Brunson ORCID iD [aut, cre], Posit Software PBC [cph]
Maintainer: Jason Cory Brunson <cornelioid at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: ordered results

Documentation:

Reference manual: ordered.html , ordered.pdf

Downloads:

Package source: ordered_0.1.0.tar.gz
Windows binaries: r-release: ordered_0.1.0.zip, r-oldrel: ordered_0.1.0.zip
macOS binaries: r-release (arm64): ordered_0.1.0.tgz, r-oldrel (arm64): ordered_0.1.0.tgz, r-release (x86_64): ordered_0.1.0.tgz, r-oldrel (x86_64): ordered_0.1.0.tgz

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.