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
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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✨
DESCRIPTION |NEWS
card.svg |card.png
orf/json (API)

# 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

5.51 score 12 stars 2 packages 30 scripts 313 downloads 3 mentions 2 exports 23 dependencies

Last updated from:a1fcc68279. Checks:14 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64ERROR120
linux-devel-x86_64ERROR199
source / vignettesERROR173
linux-release-arm64ERROR111
linux-release-x86_64ERROR126
macos-release-arm64ERROR167
macos-release-x86_64ERROR300
macos-oldrel-arm64ERROR181
macos-oldrel-x86_64ERROR265
windows-devel-arm64ERROR338
windows-devel-x86_64ERROR165
windows-release-arm64ERROR340
windows-release-x86_64ERROR136
windows-oldrel-x86_64ERROR120
wasm-releaseOK97

Exports:marginsorf

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglatticelifecycleMatrixR6rangerRColorBrewerRcppRcppEigenrlangS7scalesvctrsviridisLitewithrxtable