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Variable Importance Testing Approaches

2packages depend
3Kdownloads / year
test coverage
11/13checks pass

Overview

About
Maintained by Ender CelikFirst published 2015-12-141 releasesCRAN page ↗

Implements the novel testing approach by Janitza et al.(2015) http://nbn-resolving.de/urn/resolver.pl?urn=nbn:de:bvb:19-epub-25587-4 for the permutation variable importance measure in a random forest and the PIMP-algorithm by Altmann et al.(2010) doi:10.1093/bioinformatics/btq134. Janitza et al.(2015) http://nbn-resolving.de/urn/resolver.pl?urn=nbn:de:bvb:19-epub-25587-4 do not use the "standard" permutation variable importance but the cross-validated permutation variable importance for the novel test approach. The cross-validated permutation variable importance is not based on the out-of-bag observations but uses a similar strategy which is inspired by the cross-validation procedure. The novel test approach can be applied for classification trees as well as for regression trees. However, the use of the novel testing approach has not been tested for regression trees so far, so this routine is meant for the expert user only and its current state is rather experimental.

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Health

CRAN checks
2NOTE11OK
Failing flavors
  • NOTE r-devel-linux-x86_64-fedora-clang
  • NOTE r-devel-linux-x86_64-fedora-gcc
Slowest check: 2.0 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
4
Dependencies · direct
Check history
  • NOTE2026-04-22
    9 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    8 OK · 5 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    9 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
83%
Documented parameters
78%
Return-value docs
100%
References docs
78%

Downloads

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Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.1.0
Imports (4)
RcppparallelrandomForeststats
LinkingTo (1)
Suggests (1)
Enhances (0)
none
Reverse dependencies
2direct
0indirect

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.0.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2015-12-14
Total releases
1 / 11 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.1.0
Download size
17 KB
Installed size
not tracked yet
With dependencies
not tracked yet
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