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fuzzyforest

1.0.8Package record

Fuzzy Forests

0packages depend
5.2Kdownloads / year
49.4%test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 2.3 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.8
READMEYes · 131 wordsVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Cites a JSS article
Help pages
18includes a package overview page
Examples that run
100%8 run in a plain check
Exported functions with examples
56%
Documented parameters
87%
Return-value docs
89%
Help pages citing references
33%

Downloads

5.2K
CRAN downloads in the past year
Rank #12,138 · ~14/day · ~429/mo
Daily download trend is not available in this view yet.
34530 days
90090 days
5.2K1 year
Compare downloads with other packages →
Also on113 r2u4 autocran

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing fuzzyforest adds 22 packages (9 with compiled code, 15 MB of source tarballs). Heaviest: ggplot2 6.0 MB, isoband 1.5 MB, farver 1.2 MB.

Depends (1)
R >= 3.2.1
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Author, Maintainer since 1.0.0 (2016)
Author
Releases (9)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 1.0.8Latest
    record
    2020-03-25 · current release · diff ↗
  • 1.0.7
    record
    2020-02-05 · diff ↗
  • 1.0.6
    record
    2019-10-27 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 1.0.5
    record
    2018-02-03 · diff ↗
  • 1.0.4
    record
    2017-11-12 · diff ↗
  • 1.0.3
    record
    2017-06-11 · diff ↗ ·
    added 1 export
    iterative_RF
  • R
    R 3.4.0 released · 2017-04-21
Show 5 earlier eventsHide 5 earlier events
  • 1.0.2
    record
    2016-06-16 · diff ↗
  • R
    R 3.3.0 released · 2016-05-03
  • 1.0.1
    record
    2016-03-10 · diff ↗
  • 1.0.0
    record
    2016-02-18
  • R
    R 3.2.0 released · 2015-04-16

Package metadata

First published
2016-02-18
Total releases
9 / 10 yrs
License
GPL-3 OSI
Minimum R
≥ 3.2.1
Bundled data
602 KB / 3 files
Download size
651 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("fuzzyforest")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.18637/jss.v091.i09.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for fuzzyforest version 1.0.8 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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