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, r-oldrel (x86_64): ocf_1.0.0.tgz

Linking:

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