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0.1.0'parsnip' Engines and Wrappers for Ordinal Classification Models
Overview
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'.
Install
Health
- OK2026-08-0513 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-04-228 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 70%
- Return-value docs
- 100%
- References docs
- 0%
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Code & Tests
People & History
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 0.1.0Latest2026-04-22 · current release
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-04-22
- Total releases
- 1 / 1 yrs
- License
- MIT + file LICENSE OSI
- Download size
- 33 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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