Package: ocf 1.0.3

ocf: Ordered Correlation Forest

Machine learning estimator specifically optimized for predictive modeling of ordered non-numeric outcomes. 'ocf' provides forest-based estimation of the conditional choice probabilities and the covariates’ marginal effects. Under an "honesty" condition, the estimates are consistent and asymptotically normal and standard errors can be obtained by leveraging the weight-based representation of the random forest predictions. Please reference the use as Di Francesco (2025) <doi:10.1080/07474938.2024.2429596>.

Authors:Riccardo Di Francesco [aut, cre, cph]

ocf_1.0.3.tar.gz
ocf_1.0.3.zip(r-4.7)ocf_1.0.3.zip(r-4.6)ocf_1.0.3.zip(r-4.5)
ocf_1.0.3.tgz(r-4.6-x86_64)ocf_1.0.3.tgz(r-4.6-arm64)ocf_1.0.3.tgz(r-4.5-x86_64)ocf_1.0.3.tgz(r-4.5-arm64)
ocf_1.0.3.tar.gz(r-4.7-arm64)ocf_1.0.3.tar.gz(r-4.7-x86_64)ocf_1.0.3.tar.gz(r-4.6-arm64)ocf_1.0.3.tar.gz(r-4.6-x86_64)
ocf_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ocf/json (API)

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

Bug tracker:https://github.com/riccardo-df/ocf/issues

Pkgdown/docs site:https://riccardo-df.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

cpp

3.18 score 1 stars 1 packages 7 scripts 242 downloads 10 exports 43 dependencies

Last updated from:5de2d60cd0. Checks:11 WARNING, 1 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING216
linux-devel-x86_64WARNING211
source / vignettesERROR258
linux-release-arm64WARNING227
linux-release-x86_64WARNING211
macos-release-arm64WARNING139
macos-release-x86_64WARNING347
macos-oldrel-arm64WARNING135
macos-oldrel-x86_64WARNING246
windows-develWARNING202
windows-releaseWARNING177
windows-oldrelWARNING174
wasm-releaseOK192

Exports:classification_errorgenerate_ordered_datamarginal_effectsmean_absolute_errormean_ranked_scoremean_squared_errormultinomial_mlocfordered_mltree_info

Dependencies:clicodetoolscpp11dplyrfarverforeachgenericsggplot2ggthemesglmnetgluegtableisobanditeratorslabelinglatticelifecyclemagrittrMatrixorfpillarpkgconfigpurrrR6rangerRColorBrewerRcppRcppEigenrlangS7scalesshapestringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrxtable