The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

fuzzyforest: Fuzzy Forests

Fuzzy forests, a new algorithm based on random forests, is designed to reduce the bias seen in random forest feature selection caused by the presence of correlated features. Fuzzy forests uses recursive feature elimination random forests to select features from separate blocks of correlated features where the correlation within each block of features is high and the correlation between blocks of features is low. One final random forest is fit using the surviving features. This package fits random forests using the 'randomForest' package and allows for easy use of 'WGCNA' to split features into distinct blocks. See D. Conn, Ngun, T., C. Ramirez, and G. Li (2019) <doi:10.18637/jss.v091.i09> for further details.

Version: 1.0.8
Depends: R (≥ 3.2.1)
Imports: randomForest, foreach, doParallel, parallel, ggplot2, mvtnorm
Suggests: WGCNA, testthat
Published: 2020-03-25
DOI: 10.32614/CRAN.package.fuzzyforest
Author: Daniel Conn [aut, cre], Tuck Ngun [aut], Christina M. Ramirez [aut]
Maintainer: Daniel Conn <djconn17 at gmail.com>
License: GPL-3
NeedsCompilation: no
Citation: fuzzyforest citation info
Materials: README
CRAN checks: fuzzyforest results

Documentation:

Reference manual: fuzzyforest.pdf

Downloads:

Package source: fuzzyforest_1.0.8.tar.gz
Windows binaries: r-devel: fuzzyforest_1.0.8.zip, r-release: fuzzyforest_1.0.8.zip, r-oldrel: fuzzyforest_1.0.8.zip
macOS binaries: r-release (arm64): fuzzyforest_1.0.8.tgz, r-oldrel (arm64): fuzzyforest_1.0.8.tgz, r-release (x86_64): fuzzyforest_1.0.8.tgz, r-oldrel (x86_64): fuzzyforest_1.0.8.tgz
Old sources: fuzzyforest archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=fuzzyforest to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.