ocf: Ordered Correlation Forest

Nonparametric estimator for ordered non-numeric outcomes. The estimator modifies a standard random forest splitting criterion to build a collection of forests, each estimating the conditional probability of a single class. The package also implements a nonparametric estimator of the covariates’ marginal effects.

Version: 1.0.0
Depends: R (≥ 3.4.0)
Imports: Rcpp, Matrix, stats, utils, stringr, orf, glmnet, ranger
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2023-09-14
Author: Riccardo Di Francesco [aut, cre, cph]
Maintainer: Riccardo Di Francesco <difrancesco.riccardo96 at gmail.com>
License: GPL-3
URL: https://riccardo-df.github.io/ocf/
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: ocf results

Documentation:

Reference manual: ocf.pdf
Vignettes: ocf

Downloads:

Package source: ocf_1.0.0.tar.gz
Windows binaries: r-devel: ocf_1.0.0.zip, r-release: ocf_1.0.0.zip, r-oldrel: ocf_1.0.0.zip
macOS binaries: r-release (arm64): ocf_1.0.0.tgz, r-oldrel (arm64): ocf_1.0.0.tgz, r-release (x86_64): ocf_1.0.0.tgz

Linking:

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