R Observatory: Metrics for fairml version 0.9.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

fairml

0.9.1Package record

Fair Models in Machine Learning

1packages dependsuggested by 2

29.8Kdownloads / year

–test coverage

7/13flavors OK

Overview

About

Maintained by Marco ScutariCRAN page ↗

Fair machine learning regression models which take sensitive attributes into account in model estimation. Currently implementing Komiyama et al. (2018) http://proceedings.mlr.press/v80/komiyama18a/komiyama18a.pdf, Zafar et al. (2019) https://www.jmlr.org/papers/volume20/18-262/18-262.pdf and my own approach from Scutari, Panero and Proissl (2022) doi:10.1007/s11222-022-10143-w that uses ridge regression to enforce fairness.

Install

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

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

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

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-fairml

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-fairml

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-fairml

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

1WARNING5NOTE7OK

Check messages

WARNINGdependencies in R coder-oldrel-macos-x86_64

Missing or unexported object: ‘CVXR::status’

NOTEdependencies in R coder-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64

r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Base package in Suggests/Enhances imported in NAMESPACE:
  ‘parallel’

r-devel-windows-x86_64

Base package in Suggests/Enhances imported in NAMESPACE:
  'parallel'

CRAN check page ↗

Slowest check: 2.4 min · r-oldrel-macos-x86_64

Status changes

WARNING7 OK, 5 NOTE, 1 WARNINGNow
WARNING10 OK, 4 WARNING2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.9.1

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 20includes a package overview page
Examples that run: 100%14 run in a plain check
Exported functions with examples: 40%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 75%

How these are measured

Downloads

29.8K

CRAN downloads in the past year

Rank #2,600 · ~82/day · ~2.5K/mo

Releases R versions

Daily download trend is not available in this view yet.

2K30 days

6.1K90 days

29.8K1 year

Compare downloads with other packages →

Also on128 r2u4 autocran

How downloads are counted

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing fairml adds 6 packages (3 with compiled code, 7.2 MB of source tarballs). Heaviest: glmnet 2.7 MB, Rcpp 1.8 MB, RcppEigen 1.7 MB.

Depends (1)

R >= 3.5.0

Imports (2)

methodsglmnet

LinkingTo (0)

none

Suggests (6)

latticegridExtraparallelcccp CVXRsurvival

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Depends 1

Suggested by 2

Depends, Imports or LinkingTo, most downloaded first

dsld

Suggests, most downloaded first

mlr3fairness classmap

How these are counted

Code & Tests

Datasets

People & History

People (1)

Marco Scutari

Author, Maintainer since 0.2 (2020)

Releases (12)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.9.1Latest
record
2026-03-09 · current release · diff ↗
0.9
record
2025-04-30 · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.8
record
2023-05-14 · diff ↗ ·
added 2 exports
zlm.orig, zlrm.orig
R
R 4.3.0 released · 2023-04-21
0.7
record
2022-09-10 · diff ↗
0.6.3
record
2022-05-09 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.6.2
record
2022-04-14 · diff ↗
0.6.1
record
2022-01-24 · diff ↗
0.6
record
2021-08-09 · diff ↗ ·
added 2 exports
fgrrm, zlm
0.5
record
2021-06-16 · diff ↗ ·
added 1 export
zlrm
R
R 4.1.0 released · 2021-05-18
0.4
record
2021-04-15 · diff ↗ ·
removed 1 export
loss

added 4 exports
frrm, cv.loss, cv.unfairness, cv.folds

Show 3 earlier eventsHide 3 earlier events

0.3
record
2020-09-09 · diff ↗ ·
added 2 exports
fairml.cv, loss
0.2
record
2020-08-06
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2020-08-06
Total releases: 12 / 6 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.5.0
Bundled data: 2.5 MB / 11 files
Download size: 2.3 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("fairml")

Format

Scutari, M. (2026). fairml: Fair Models in Machine Learning (Version 0.9.1) [Computer software]. https://doi.org/10.32614/CRAN.package.fairml

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 fairml version 0.9.1 [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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