The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

orf: Ordered Random Forests

An implementation of the Ordered Forest estimator as developed in Lechner & Okasa (2019) <doi:10.48550/arXiv.1907.02436>. The Ordered Forest flexibly estimates the conditional probabilities of models with ordered categorical outcomes (so-called ordered choice models). Additionally to common machine learning algorithms the 'orf' package provides functions for estimating marginal effects as well as statistical inference thereof and thus provides similar output as in standard econometric models for ordered choice. The core forest algorithm relies on the fast C++ forest implementation from the 'ranger' package (Wright & Ziegler, 2017) <doi:10.48550/arXiv.1508.04409>.

Version: 0.1.4
Depends: R (≥ 2.10)
Imports: ggplot2, ranger, Rcpp, stats, utils, xtable
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat
Published: 2022-07-23
DOI: 10.32614/CRAN.package.orf
Author: Gabriel Okasa [aut, cre], Michael Lechner [ctb]
Maintainer: Gabriel Okasa <okasa.gabriel at gmail.com>
BugReports: https://github.com/okasag/orf/issues
License: GPL-3
URL: https://github.com/okasag/orf
NeedsCompilation: yes
Citation: orf citation info
Materials: README NEWS
CRAN checks: orf results

Documentation:

Reference manual: orf.pdf
Vignettes: orf: ordered random forests

Downloads:

Package source: orf_0.1.4.tar.gz
Windows binaries: r-devel: orf_0.1.4.zip, r-release: orf_0.1.4.zip, r-oldrel: orf_0.1.4.zip
macOS binaries: r-release (arm64): orf_0.1.4.tgz, r-oldrel (arm64): orf_0.1.4.tgz, r-release (x86_64): orf_0.1.4.tgz, r-oldrel (x86_64): orf_0.1.4.tgz
Old sources: orf archive

Reverse dependencies:

Reverse imports: ocf

Linking:

Please use the canonical form https://CRAN.R-project.org/package=orf to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.