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rfVarImpOOB

1.0.3Package record

Unbiased Variable Importance for Random Forests

0packages depend
2.4Kdownloads / year
–test coverage
9/13flavors OK

Overview

About

Computes a novel variable importance for random forests: Impurity reduction importance scores for out-of-bag (OOB) data complementing the existing inbag Gini importance, see also <doi: 10.1080/03610926.2020.1764042>. The Gini impurities for inbag and OOB data are combined in three different ways, after which the information gain is computed at each split. This gain is aggregated for each split variable in a tree and averaged across trees.

Install

Health

CRAN checks
4NOTE9OK
Check messages
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Markus Loecher <Markus.Loecher@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: person(given = "Markus",
                    family = "Loecher",
                    role = c("aut", "cre"),
                    email = "Markus.Loecher@gmail.com")
as necessary.
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespace in Imports field not imported from:
  ‘titanic’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 3.2 min · r-oldrel-windows-x86_64
Status changes
  • NOTE9 OK, 4 NOTE2026-06-09
  • ERROR9 OK, 3 NOTE, 1 ERROR2026-06-08
  • NOTE10 OK, 4 NOTE2026-03-10
Advisories

none known

Documentation

In release 1.0.3
READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
16
Examples that run
100%15 run in a plain check
Exported functions with examples
100%
Documented parameters
99%
Return-value docs
62%
Help pages citing references
0%

Downloads

2.4K
CRAN downloads in the past year
Rank #19,640 · ~7/day · ~204/mo
Daily download trend is not available in this view yet.
23630 days
67690 days
2.4K1 year
Compare downloads with other packages →
Also on71 r2u6 autocran

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing rfVarImpOOB adds 71 packages (35 with compiled code, 65 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, doBy 4.3 MB.

Depends (3)
R >= 3.2.2statsrandomForest
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (from the free-text Author field) (1)

Maintainer since 1.0 (2019)

Releases (3)

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
  • unarchivedReturned to CRAN
    2022-07-01
  • 1.0.3Latest
    record
    2022-07-01 · current release · diff ↗
  • archivedRemoved from CRAN
    2022-04-26
    requires archived package 'binaryLogic'
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.1
    record
    2020-10-18 · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • 1.0
    record
    2019-04-05
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2019-04-05
Total releases
3 / 7 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.2.2
Bundled data
46 KB / 2 files
Download size
88 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("rfVarImpOOB")

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

It points to 10.1080/03610926.2020.1764042.

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 rfVarImpOOB version 1.0.3 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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