Package: ocf
Type: Package
Title: Ordered Correlation Forest
Version: 1.0.3
Authors@R: person("Riccardo", "Di Francesco", email = "difrancesco.riccardo96@gmail.com", role = c("aut", "cre", "cph"))
Description: Machine learning estimator specifically optimized for
        predictive modeling of ordered non-numeric outcomes. 'ocf'
        provides forest-based estimation of the conditional choice
        probabilities and the covariates’ marginal effects. Under an
        "honesty" condition, the estimates are consistent and
        asymptotically normal and standard errors can be obtained by
        leveraging the weight-based representation of the random forest
        predictions. Please reference the use as Di Francesco (2025)
        <doi:10.1080/07474938.2024.2429596>.
License: GPL-3
Encoding: UTF-8
Depends: R (>= 3.4.0)
Imports: Rcpp, Matrix, stats, utils, stringr, orf, glmnet, ranger,
        dplyr, tidyr, ggplot2, magrittr, ggthemes
LinkingTo: Rcpp, RcppEigen
RoxygenNote: 7.3.2
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
VignetteBuilder: knitr
URL: https://riccardo-df.github.io/ocf/,
        https://github.com/riccardo-df/ocf
BugReports: https://github.com/riccardo-df/ocf/issues
Biarch: TRUE
Config/pak/sysreqs: libicu-dev
Repository: https://riccardo-df.r-universe.dev
Date/Publication: 2025-02-28 12:24:25 UTC
RemoteUrl: https://github.com/riccardo-df/ocf
RemoteRef: HEAD
RemoteSha: 5de2d60cd0b7a9df96c2b80afe0f2779811ad42f
NeedsCompilation: yes
Packaged: 2026-06-24 11:34:21 UTC; root
Author: Riccardo Di Francesco [aut, cre, cph]
Maintainer: Riccardo Di Francesco <difrancesco.riccardo96@gmail.com>