Package: orf
Type: Package
Title: Ordered Random Forests
Version: 0.1.4.9000
Date: 2022-07-21
Author: Gabriel Okasa [aut, cre], Michael Lechner [ctb]
Maintainer: Gabriel Okasa <okasa.gabriel@gmail.com>
Description: 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>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 2.10)
Imports: ggplot2, ranger, Rcpp, stats, utils, xtable
RoxygenNote: 7.2.1
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
URL: https://github.com/okasag/orf
BugReports: https://github.com/okasag/orf/issues
LinkingTo: Rcpp
Repository: https://okasag.r-universe.dev
Date/Publication: 2022-07-26 17:13:31 UTC
RemoteUrl: https://github.com/okasag/orf
RemoteRef: HEAD
RemoteSha: a1fcc682799203b5d8258d05b9074b989c2d4c67
RemoteSubdir: orf
NeedsCompilation: yes
Packaged: 2026-10-11 15:42:03 UTC; root