Package: RRF 1.9.4.1
RRF: Regularized Random Forest
Feature Selection with Regularized Random Forest. This package is based on the 'randomForest' package by Andy Liaw. The key difference is the RRF() function that builds a regularized random forest. Fortran original by Leo Breiman and Adele Cutler, R port by Andy Liaw and Matthew Wiener, Regularized random forest for classification by Houtao Deng, Regularized random forest for regression by Xin Guan. Reference: Houtao Deng (2013) <doi:10.48550/arXiv.1306.0237>.
Authors:
RRF_1.9.4.1.tar.gz
RRF_1.9.4.1.zip(r-4.7)RRF_1.9.4.1.zip(r-4.6)RRF_1.9.4.1.zip(r-4.5)
RRF_1.9.4.1.tgz(r-4.6-x86_64)RRF_1.9.4.1.tgz(r-4.6-arm64)RRF_1.9.4.1.tgz(r-4.5-x86_64)RRF_1.9.4.1.tgz(r-4.5-arm64)
RRF_1.9.4.1.tar.gz(r-4.7-arm64)RRF_1.9.4.1.tar.gz(r-4.7-x86_64)RRF_1.9.4.1.tar.gz(r-4.6-arm64)RRF_1.9.4.1.tar.gz(r-4.6-x86_64)
RRF_1.9.4.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
RRF/json (API)
| # Install 'RRF' in R: |
| install.packages('RRF', repos = c('https://softwaredeng.r-universe.dev', 'https://cloud.r-project.org')) |
- imports85 - The Automobile Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:161a9f0f36. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 150 | ||
| linux-devel-x86_64 | OK | 114 | ||
| source / vignettes | OK | 169 | ||
| linux-release-arm64 | OK | 122 | ||
| linux-release-x86_64 | OK | 104 | ||
| macos-release-arm64 | OK | 130 | ||
| macos-release-x86_64 | OK | 182 | ||
| macos-oldrel-arm64 | OK | 128 | ||
| macos-oldrel-x86_64 | OK | 237 | ||
| windows-devel | OK | 86 | ||
| windows-release | OK | 121 | ||
| windows-oldrel | OK | 81 | ||
| wasm-release | OK | 90 |
Exports:classCentercombinegetTreegrowimportancemarginMDSplotna.roughfixoutlierpartialPlotRRFrrfcvrrfImputerrfNewstreesizetuneRRFvarImpPlotvarUsed
Dependencies:
