Skip to content

randomForestVIP

0.1.3Package record

Tune Random Forests Based on Variable Importance & Plot Results

0packages depend
6.8Kdownloads / year
95.3%test coverage
13/13flavors OK

Overview

About

Functions for assessing variable relations and associations prior to modeling with a Random Forest algorithm (although these are relevant for any predictive model). Metrics such as partial correlations and variance inflation factors are tabulated as well as plotted for the user. A function is available for tuning the main Random Forest hyper-parameter based on model performance and variable importance metrics. This grid-search technique provides tables and plots showing the effect of the main hyper-parameter on each of the assessment metrics. It also returns each of the evaluated models to the user. The package also provides superior variable importance plots for individual models. All of the plots are developed so that the user has the ability to edit and improve further upon the plots. Derivations and methodology are described in Bladen (2022) https://digitalcommons.usu.edu/etd/8587/.

Install

Health

CRAN checks
13OK
Slowest check: 3.7 min · r-release-macos-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.3
READMEYes · 612 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
6
Examples that run
100%4 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
0%

Downloads

6.8K
CRAN downloads in the past year
Rank #8,189 · ~19/day · ~567/mo
Daily download trend is not available in this view yet.
33830 days
1.1K90 days
6.8K1 year
Compare downloads with other packages →
Also on72 r2u6 autocran

Repository

2Stars
0Forks
0Open issues
0Open PRs
1Releases
42Commits
1Commit identities
42 commits · Last activity 2023-12-01 · 0% stars, 30d · Default branch at 0.1.3.9000, ahead of CRAN 0.1.3 (checked 2026-10-18)
Responsiveness
not measured

Stars over time

2025-03-19 · 12026-07-07 · 2
PracticesBeta

7 development-tooling and community-health practices detected across 5 families in the upstream repository

Checks run against github.com/kelvynbladen/randomforestvip on 2026-10-18.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (1)
README.Rmd
Reproducibility and dev environment (1)
data-raw/
CRAN release process (2)
cran-comments.mdrevdep/
Show all practicesHide 1 practice
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
12 external dependencies (excludes base and recommended)

Installing randomForestVIP adds 63 packages (34 with compiled code, 56 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, doBy 4.3 MB.

Depends (1)
R >= 4.0.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 0.1.3 (2023)
Listed in earlier versions (1)
Cutler
no longer listed · 0.1.3
Releases (1)
  • 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
  • 0.1.3Latest
    2023-07-19 · current release
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-07-19
Total releases
1 / 3 yrs
License
GPL-3 OSI
Minimum R
≥ 4.0.0
Bundled data
78 KB / 2 files
Download size
209 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("randomForestVIP")
Bladen, K., & Cutler, D. R. (2023). randomForestVIP: Tune Random Forests Based on Variable Importance & Plot Results (Version 0.1.3) [Computer software]. https://doi.org/10.32614/CRAN.package.randomForestVIP

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 randomForestVIP version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy