Package: RRF 1.9.4

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) <arxiv:1306.0237>.

Authors:Houtao Deng [aut, cre], Xin Guan [aut], Andy Liaw [aut], Leo Breiman [aut], Adele Cutler [aut]

RRF_1.9.4.tar.gz
RRF_1.9.4.zip(r-4.5)RRF_1.9.4.zip(r-4.4)RRF_1.9.4.zip(r-4.3)
RRF_1.9.4.tgz(r-4.4-x86_64)RRF_1.9.4.tgz(r-4.4-arm64)RRF_1.9.4.tgz(r-4.3-x86_64)RRF_1.9.4.tgz(r-4.3-arm64)
RRF_1.9.4.tar.gz(r-4.5-noble)RRF_1.9.4.tar.gz(r-4.4-noble)
RRF_1.9.4.tgz(r-4.4-emscripten)RRF_1.9.4.tgz(r-4.3-emscripten)
RRF.pdf |RRF.html✨
RRF/json (API)
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18 exports 1.64 score 0 dependencies 3 dependents 3 mentions 121 scripts 1.4k downloads

Last updated 2 years agofrom:8e7d4c9801. Checks:OK: 9. Indexed: yes.

Exports:classCentercombinegetTreegrowimportancemarginMDSplotna.roughfixoutlierpartialPlotRRFrrfcvrrfImputerrfNewstreesizetuneRRFvarImpPlotvarUsed

Dependencies: