KnowGRRF: Knowledge-Based Guided Regularized Random Forest

Random Forest (RF) and Regularized Random Forest can be used for feature selection. Moreover, by Guided Regularized Random Forest, statistical-based weights are used to guide the regularization of random forest and further used for feature selection. This package can integrate prior information from multiple domains (statistical based and knowledge domain) to guide the regularization of random forest and feature selection. For more details, see reference: Guan X., Liu L. (2018) <doi:10.1007/978-3-319-78759-6_1>.

Version: 1.0
Imports: randomForest, RRF, PRROC, MASS
Published: 2019-03-06
Author: Original code developed by Xin Guan, modified and added functions developed by Li Liu
Maintainer: Xin Guan <xinguan at asu.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: KnowGRRF results

Downloads:

Reference manual: KnowGRRF.pdf
Package source: KnowGRRF_1.0.tar.gz
Windows binaries: r-devel: KnowGRRF_1.0.zip, r-release: KnowGRRF_1.0.zip, r-oldrel: KnowGRRF_1.0.zip
macOS binaries: r-release (arm64): KnowGRRF_1.0.tgz, r-release (x86_64): KnowGRRF_1.0.tgz, r-oldrel: KnowGRRF_1.0.tgz

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