Package: ordered 0.1.0.9000

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]

ordered_0.1.0.9000.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ordered/json (API)

# 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

5.77 score 9 stars 41 scripts 484 downloads 16 exports 38 dependencies

Last updated from:3ee258ce33. Checks:2 ERROR, 7 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR190
source / vignettesOK186
linux-release-x86_64ERROR189
macos-release-arm64OK106
macos-oldrel-arm64OK104
windows-develOK157
windows-releaseOK145
windows-oldrelOK152
wasm-releaseOK119

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