Type: Package
Package: RegEnRF
Title: Regression-Enhanced Random Forests
Version: 2.0.1
Authors@R: 
    person("Umberto", "Minora", , "umbertofilippo@tiscali.it", role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0003-2151-6500"))
Description: A novel generalized Random Forest method, that can improve
        on RFs by borrowing the strength of penalized parametric
        regression. Based on Zhang et al. (2019)
        <doi:10.48550/arXiv.1904.10416>.
License: MIT + file LICENSE
BugReports: https://github.com/umbe1987/RegEnRF/issues
Imports: glmnet, randomForest
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
URL: https://github.com/umbe1987/RegEnRF
Repository: https://umbe1987.r-universe.dev
Date/Publication: 2026-08-24 08:44:06 UTC
RemoteUrl: https://github.com/umbe1987/regenrf
RemoteRef: HEAD
RemoteSha: ff285b2c1202f912471b1f1f094f5ba80990bbb4
NeedsCompilation: no
Packaged: 2026-10-23 10:58:10 UTC; root
Author: Umberto Minora [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0003-2151-6500>)
Maintainer: Umberto Minora <umbertofilippo@tiscali.it>