R Observatory: Metrics for vip version 0.4.6

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2026-07-08. Its history is shown below.

Reason: issues were not corrected despite reminder

Details below reflect version 0.4.6, its last release before removal.

vip

0.4.6Package record

Variable Importance Plots

0packages dependsuggested by 8

169.7Kdownloads / year

38.8%test coverage

–flavors OK

Overview

About

Maintained by Brandon M. GreenwellCRAN page ↗GitHub ↗Website ↗

A general framework for constructing variable importance plots from various types of machine learning models in R. Aside from some standard model- specific variable importance measures, this package also provides model- agnostic approaches that can be applied to any supervised learning algorithm. These include 1) an efficient permutation-based variable importance measure, 2) variable importance based on Shapley values (Strumbelj and Kononenko, 2014) doi:10.1007/s10115-013-0679-x, and 3) the variance-based approach described in Greenwell et al. (2018) doi:10.48550/arXiv.1805.04755. A variance-based method for quantifying the relative strength of interaction effects is also included (see the previous reference for details).

Changes in 0.4.6

Fixed

Fixed CRAN check failures on r-devel (Linux/Fedora and macOS ARM64) in test_vi_firm.R. The test called ranger() without the ranger:: namespace prefix — requireNamespace() loads a namespace but does not attach it, so unqualified function calls fail. Changed to ranger::ranger().
Fixed test_vi_firm.R to pass train = titanic explicitly to all vi_firm() / vi() calls. The auto-extraction fallback in get_training_data.default is not implemented for ranger models.
Narrowed two expect_equal() assertions in test_vi_firm.R to compare only $Importance values. The prob = TRUE shortcut and a custom pfun wrapper produce the same importance scores but different raw effect representations, so comparing full objects (including the effects attribute) was overly strict.

From NEWS.md in the release

Install

R (source archive)pak (dev)

url <- "https://cran.r-project.org/src/contrib/Archive/vip/vip_0.4.6.tar.gz"
pkgFile <- "vip_0.4.6.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (0.4.6) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("koalaverse/vip")

Development version from koalaverse/vip. Installs pak first if it is not already available.

Health

CRAN checks

CRAN check results are not tracked yet.

Status changes

ERROR13 OK, 1 ERROR2026-03-27
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.4.6

READMEYes · 387 wordsVignettesYes · 1 · staticNEWSYes · 100% structured · mentions 0.4.6Citation fileYes · cites a publicationWebsiteYes

Cites an R Journal article

Help pages: 12 (2 internal)
Examples that run: 50%4 run in a plain check · 4 never run
Exported functions with examples: 100%
Documented parameters: 90%
Return-value docs: 75%
Help pages citing references: 25%

How these are measured

Downloads

169.7K

CRAN downloads in the past year

Rank #25,731 · ~465/day · ~14.1K/mo

Releases R versions

Daily download trend is not available in this view yet.

030 days

090 days

169.7K1 year

Compare downloads with other packages →

Also on623 r2u3 autocran3.5K conda_forge111 c2d4u

How downloads are counted

Dependencies

Declared dependencies

18 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1.0

Imports (6)

foreach ggplot2statstibbleutilsyardstick

LinkingTo (0)

none

Suggests (15)

bookdown DT covr doParallel dplyr fastshap knitrlatticemlbench modeldata NeuralNetTools pdp rmarkdown tinytest varImp

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Suggested by 8

Suggests, most downloaded first

waywiser tabnet ENMTools finnts easyalluvial vivid omicsTools kindling

How these are counted

Code & Tests

Datasets

People & History

People (2)

Brandon Greenwell

Author, Maintainer

Brad Boehmke

Author

Maintainer since 0.1.0 (2018)

Listed in earlier versions (1)

Bernie Gray

no longer listed · 0.1.1 to 0.3.2

Releases (14)

Pick two releases to compare their code metrics.

archivedRemoved from CRAN
2026-07-08
issues were not corrected despite reminder
R
R 4.6.0 released · 2026-04-24
0.4.6
record
2026-04-23 · diff ↗
unarchivedReturned to CRAN
2025-12-12
0.4.5
record
2025-12-12 · diff ↗
archivedRemoved from CRAN
2025-12-11
issues were not corrected in multiple re-submissions
0.4.3
record
2025-12-10 · diff ↗
0.4.2
record
2025-12-02 · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
unarchivedReturned to CRAN
2023-08-21
0.4.1
record
2023-08-21 · diff ↗
archivedRemoved from CRAN
2023-08-14
issues were not corrected despite repeated reminders
0.4.0
record
2023-07-19 · diff ↗ ·
removed 17 exports
%>%, %T>%, add_sparklines, grid.arrange, metric_accuracy, metric_auc, metric_error, metric_logLoss, metric_mae, metric_mauc, metric_mse, metric_rmse, metric_rsquared, metric_sse, vi_ice, vi_pdp, vint
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22

Show 12 earlier eventsHide 12 earlier events

R
R 4.1.0 released · 2021-05-18
0.3.2
record
2020-12-17 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.2.2
record
2020-04-06 · diff ↗
0.2.1
record
2020-01-20 · diff ↗
0.2.0
record
2020-01-19 · diff ↗ ·
added 13 exports
gen_friedman, metric_accuracy, metric_auc, metric_error, metric_logLoss, metric_mae, metric_mauc, metric_mse, metric_rmse, metric_rsquared, metric_sse, vi_firm, vi_shap
0.1.3
record
2019-07-03 · diff ↗ ·
added 2 exports
add_sparklines, list_metrics
R
R 3.6.0 released · 2019-04-26
0.1.2
record
2018-10-01 · diff ↗ ·
added 2 exports
%>%, %T>%
0.1.1
record
2018-09-27 · diff ↗ ·
added 1 export
vi_permute
0.1.0
record
2018-06-15
R
R 3.5.0 released · 2018-04-23

Package metadata

First published: 2018-06-15
Total releases: 14 / 8 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 4.1.0
Bundled data: 16 KB / 2 files
Download size: 2.3 MB for 0.4.5

Cite

Cite this package

Run in R for the authors' entry:

citation("vip")

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

It points to 10.32614/rj-2020-013.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for vip version 0.4.6 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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