Package: RegEnRF 1.0.0.9000

RegEnRF: Regression-Enhanced Random Forests

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>.

Authors:Umberto Minora [aut, cre, cph]

RegEnRF_1.0.0.9000.tar.gz
RegEnRF_1.0.0.9000.zip(r-4.7)RegEnRF_1.0.0.9000.zip(r-4.6)RegEnRF_1.0.0.9000.zip(r-4.5)
RegEnRF_1.0.0.9000.tgz(r-4.6-any)RegEnRF_1.0.0.9000.tgz(r-4.5-any)
RegEnRF_1.0.0.9000.tar.gz(r-4.7-any)RegEnRF_1.0.0.9000.tar.gz(r-4.6-any)
RegEnRF_1.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RegEnRF/json (API)
NEWS

# Install 'RegEnRF' in R:

install.packages('RegEnRF', repos = c('https://umbe1987.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/umbe1987/regenrf/issues

On CRAN:

3.30 score 3 scripts 144 downloads 1 exports 11 dependencies

Last updated from:802995fd79. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	109
source / vignettes	OK	163
linux-release-x86_64	OK	106
macos-release-arm64	OK	115
macos-oldrel-arm64	OK	128
windows-devel	OK	78
windows-release	OK	65
windows-oldrel	OK	73
wasm-release	OK	90