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'.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | ordered_0.1.0.tar.gz |
93.8 KiB |
0.1.0 |
rolling linux/noble R-4.5 | ordered_0.1.0.tar.gz |
93.5 KiB |
0.1.0 |
rolling source/ R- | ordered_0.1.0.tar.gz |
32.9 KiB |
0.1.0 |
latest linux/jammy R-4.5 | ordered_0.1.0.tar.gz |
93.8 KiB |
0.1.0 |
latest linux/noble R-4.5 | ordered_0.1.0.tar.gz |
93.5 KiB |
0.1.0 |
latest source/ R- | ordered_0.1.0.tar.gz |
32.9 KiB |
0.1.0 |
2026-04-26 source/ R- | ordered_0.1.0.tar.gz |
32.9 KiB |
0.1.0 |
2026-04-23 source/ R- | ordered_0.1.0.tar.gz |
32.9 KiB |