Package: orf 0.1.4.9000

orf: Ordered Random Forests

An implementation of the Ordered Forest estimator as developed in Lechner & Okasa (2019) <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) <arxiv:1508.04409>.

Authors:Gabriel Okasa [aut, cre], Michael Lechner [ctb]

orf_0.1.4.9000.tar.gz
orf_0.1.4.9000.zip(r-4.7)orf_0.1.4.9000.zip(r-4.6)orf_0.1.4.9000.zip(r-4.5)
orf_0.1.4.9000.tgz(r-4.6-x86_64)orf_0.1.4.9000.tgz(r-4.6-arm64)orf_0.1.4.9000.tgz(r-4.5-x86_64)orf_0.1.4.9000.tgz(r-4.5-arm64)
orf_0.1.4.9000.tar.gz(r-4.7-arm64)orf_0.1.4.9000.tar.gz(r-4.7-x86_64)orf_0.1.4.9000.tar.gz(r-4.6-arm64)orf_0.1.4.9000.tar.gz(r-4.6-x86_64)
orf_0.1.4.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
orf/json (API)
NEWS

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

Bug tracker:https://github.com/okasag/orf/issues

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

On CRAN:

Conda:

cpp

5.41 score 12 stars 2 packages 24 scripts 270 downloads 3 mentions 2 exports 23 dependencies

Last updated from:a1fcc68279. Checks:12 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64ERROR145
linux-devel-x86_64ERROR154
source / vignettesERROR190
linux-release-arm64ERROR158
linux-release-x86_64ERROR163
macos-release-arm64ERROR149
macos-release-x86_64ERROR416
macos-oldrel-arm64ERROR208
macos-oldrel-x86_64ERROR377
windows-develERROR214
windows-releaseERROR128
windows-oldrelERROR143
wasm-releaseOK123

Exports:marginsorf

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglatticelifecycleMatrixR6rangerRColorBrewerRcppRcppEigenrlangS7scalesvctrsviridisLitewithrxtable