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varImp

0.4

RF Variable Importance for Arbitrary Measures

1packages depend
62.9Kdownloads / year
57.6%test coverage
13/13checks pass

Overview

About
Maintained by Philipp ProbstFirst published 2018-07-134 releasesCRAN page ↗

Computes the random forest variable importance (VIMP) for the conditional inference random forest (cforest) of the 'party' package. Includes a function (varImp) that computes the VIMP for arbitrary measures from the 'measures' package. For calculating the VIMP regarding the measures accuracy and AUC two extra functions exist (varImpACC and varImpAUC).

Install

Health

CRAN checks
13OK
Slowest check: 2.4 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.10
57.6%
Coverage · measured lines
100%
Documentation · exports
3
Dependencies · direct
Check history
  • OK2026-08-04
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-06-09
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-06-08
    12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Show 1 earlier snapshots
  • NOTE2026-03-10
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 87 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
75%
Documented parameters
100%
Return-value docs
100%
References docs
25%

Downloads

62.9K
CRAN downloads in the past year
Rank #2,228 · ~172/day · ~5.2K/mo
Daily download trend is not available in this view yet.
2.4K30 days
8.6K90 days
62.9K1 year
Compare downloads with other packages →
Also on127 r2u20 autocran805 conda_forge

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)
Depends (4)
R >= 3.0.0measurespartystats
Imports (0)
none
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

People & History

People (2)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (1)
Contributor
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 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
  • 0.4Latest
    2020-05-23 · current release · diff ↗
  • R
    R 4.0.0 released · 2020-04-24
  • 0.3
    2019-05-03 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 0.2
    2018-08-06 · diff ↗
  • 0.1
    2018-07-13
  • R
    R 3.5.0 released · 2018-04-23

Package metadata

First published
2018-07-13
Total releases
4 / 8 yrs
License
GPL-3 OSI
Minimum R
≥ 3.0.0
Download size
8.2 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("varImp")
Probst, P., & Janitza, S. (2020). varImp: RF Variable Importance for Arbitrary Measures (Version 0.4) [Computer software]. https://doi.org/10.32614/CRAN.package.varImp

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 varImp version 0.4 [Data set]. HJJB, LLC. Data release v2026-08-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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