R Observatory: Metrics for rankimp version 1.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

rankimp

1.0.0Package record

Consensus Ranking of Variable Importance with Uncertainty

0packages depend

473downloads / year

92.8%test coverage

13/13flavors OK

Overview

About

Maintained by Agostino GnassoCRAN page ↗GitHub ↗Issues ↗

Variable importance rankings depend on the method, the random seed and the resample used to compute them. This package treats every source of importance as a judge expressing a ranking over the predictors, and synthesises those rankings into a Kemeny median ranking with ties. Uncertainty about the consensus is quantified through bootstrap rank confidence sets, top-k probabilities and clustering of disagreeing judges.

Changes in 1.0.0

First stable release. The interface is settled and breaking changes from here

go through a deprecation cycle.

New

applications is a new dataset: 800 synthetic loan applications, seven predictors and a default indicator, shipped so that a question about a ranking has an answer to check against. The effects a ranking ought to recover are stored on the data frame as attr(applications, "effects").
It is built to make importance measures disagree, because a dataset on which they agree has nothing to say about a package for reconciling them. bureau_score and income come from one latent creditworthiness and correlate at 0.84, so the credit for the signal has to be divided somehow, and both measures below invert them relative to the truth. prior_arrears is the largest effect in the data and takes six distinct values: on a forest of 500 trees, impurity importance puts it fourth while permutation importance puts it first. Over the seven predictors the two agree with each other at a Kendall tau of 0.71, and against the truth at 0.59 for impurity and 0.88 for permutation.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("rankimp", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

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

Development version from agostinognasso/rankimp. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-rankimp

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-rankimp

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-rankimp

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 5.9 min · r-oldrel-windows-x86_64

Status changes

OK13 OKNow
OK5 OK2026-09-18

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.0

READMEYes · 3,713 wordsVignettesYes · 7 · evaluation depends on the environmentNEWSYes · 100% structured · mentions 1.0.0Citation fileNo

Help pages: 16 (2 internal)includes a package overview page
Examples that run: 100%14 run in a plain check (4 of them under a condition)
Exported functions with examples: 91%
Documented parameters: 100%
Return-value docs: 91%
Help pages citing references: 0%

Vignettes (7)

How these are measured

Downloads

473

CRAN downloads in the past year

Rank #24,762 · ~1/day · ~39/mo

Releases R versions

Daily download trend is not available in this view yet.

31030 days

47390 days

4731 year

Compare downloads with other packages →

Also on7 r2u2 autocran

How downloads are counted

Repository

agostinognasso/rankimp ↗Account: agostinognasso

0Stars

0Forks

0Open issues

0Open PRs

1Releases

31Commits

1Commit identities

31 commits · Last activity 2026-09-09

Responsiveness

not measured

How these are measured

PracticesBeta

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

Checks run against github.com/agostinognasso/rankimp on 2026-10-25.

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 (2)

README.Rmdpkgdown

Coverage (1)

Coverage reporting

CRAN release process (1)

cran-comments.md

Show all practicesHide 1 practice

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Installing rankimp adds 38 packages (23 with compiled code, 38 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 3.5

Imports (5)

ConsRank ggplot2statstibbleutils

LinkingTo (0)

none

Suggests (10)

clustercovr kernelshap knitr randomForest ranger rmarkdown rsample stabm testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (1)

Agostino Gnasso

Releases (1)

1.0.0Latest
record
2026-09-17 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-09-17
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5
Bundled data: 8.2 KB / 1 file
Download size: 389 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("rankimp")

Format

Gnasso, A. (2026). rankimp: Consensus Ranking of Variable Importance with Uncertainty (Version 1.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.rankimp

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for rankimp version 1.0.0 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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