Package: ordered 0.1.0

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'.

Authors:Max Kuhn [aut], Jason Cory Brunson [aut, cre], Posit Software PBC [cph]

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manual.pdf |manual.html✨
card.svg |card.png
ordered/json (API)
NEWS

# Install 'ordered' in R:
install.packages('ordered', repos = c('https://corybrunson.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/corybrunson/ordered/issues

Pkgdown/docs site:https://corybrunson.github.io

On CRAN:

Conda:

ordinal-classificationordinal-regressionparsniptidymodels

5.70 score 9 stars 40 scripts 570 downloads 16 exports 38 dependencies

Last updated from:7c185f6bdb. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK215
source / vignettesOK174
linux-release-x86_64OK181
macos-release-arm64OK104
macos-oldrel-arm64OK132
windows-develOK154
windows-releaseOK122
windows-oldrelOK135
wasm-releaseOK111

Exports:naive_scoresnum_score_permsnum_score_treesnum_scoresnum_scores_bestord_metricordinalForest_wrapperordinalNet_wrapperpredict_ordinalNet_wrapperprune_funcrpartScore_wrappersplit_funcvalues_ord_metricvalues_ordinal_link_VGAMVGAM_vgam_wrapperVGAM_vglm_wrapper

Dependencies:clicodetoolscpp11dialsDiceDesigndplyrfarvergenericsggplot2globalsgluegtablehardhatisobandlabelinglifecyclemagrittrparsnippillarpkgconfigprettyunitspurrrR6RColorBrewerrlangS7scalessfdsparsevctrsstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
Dials for 'ordinalForest' engine parametersnaive_scores num_scores num_scores_best num_score_perms num_score_trees ordinalForest_parameters ord_metric values_ord_metric
Dials for 'rpartScore' engine parametersprune_func rpartScore_parameters split_func