varImp
0.4RF Variable Importance for Arbitrary Measures
Overview
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
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-06-0812 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- OK2026-04-2512 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- NOTE2026-03-1011 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Downloads
Repository stars, issues, and contributor activity are not tracked yet.
Dependencies
Code
Code & tests
Open call graph →Line coverage
–
Expression
–
Tests / Examples
–
Functions
9 4 exported
Complexity
7.6 avg / 20 max
Call network
9 nodes / 9 edges
Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.
Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
4 releases. Pick two to compare their code metrics; R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- 0.4Latest2020-05-23 · current release
- RR 4.0.0 released · 2020-04-24
- 0.32019-05-03 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 0.22018-08-06 · diff ↗
- 0.12018-07-13
Package metadata
- First published
- 2018-07-13
- Total releases
- 4 / 8 yrs
- License
- GPL-3 OSI
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet