R Observatory: Metrics for icarm version 0.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

icarm

0.2.0

Interpretable Contextual-Accountable and Responsible Machine Learning

0packages depend

370downloads / year

0.0%test coverage

13/13checks pass

Overview

About

Maintained by Olushina Olawale AweFirst published 2026-07-012 releasesCRAN page ↗

A general-purpose framework for Interpretable Contextual-Accountable and Responsible Machine Learning (ICARM) that works with any clean tabular data across any application domain including healthcare, finance, social science, business, and education. Automatically detects whether a prediction task is binary classification, multi-class classification, or regression from the target variable type. Provides a unified entry point icarm_fit() supporting both interpretable learners (Classification and Regression Trees (CART), logistic regression, linear regression, Generalized Additive Models (GAM)) and extended learners (random forest, 'XGBoost', Support Vector Machines (SVM)) with consistent interfaces for global and local model explanation including approximate SHapley Additive exPlanations (SHAP) values and Partial Dependence Profiles (PDPs), learning curve diagnostics, group-level fairness auditing across protected attributes, probability calibration, threshold analysis, multi-model comparison, reproducible JavaScript Object Notation (JSON) audit trails, and accountability scorecards. The contextual accountability framing emphasises that algorithmic fairness and interpretability requirements depend on the deployment domain and must be evaluated accordingly. Extends the 'civic.icarm' framework (Awe 2025) https://cran.r-project.org/package=civic.icarm to general-purpose applications beyond civic and political education.

Install

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

install.packages("icarm", 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-icarm

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-icarm

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-icarm

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 1.3 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.08

0.0%

Coverage · measured lines

100%

Documentation · exports

11

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-07-01
6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 420 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 99%
Return-value docs: 100%
References docs: 3%

Downloads

370

CRAN downloads in the past year

Rank #23,945 · ~1/day · ~31/mo

Releases R versions

Daily download trend is not available in this view yet.

15130 days

37090 days

3701 year

Compare downloads with other packages →

Also on14 r2u

Dependencies

Declared dependencies

16 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1.0

Imports (11)

statsutilsrpartggplot2 dplyr tidyr tibble purrr rlang jsonlite digest

LinkingTo (0)

none

Suggests (10)

randomForest xgboost e1071mgcvglmnetnnetDALEX pROC testthat covr

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (2)

Maintainer (1)

Olushina Olawale Awe

Author, Maintainer

Authors (1)

Olushina Olawale Awe

Author, Maintainer

Funders (1)

Ludwigsburg University of Education

Funder

Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

0.2.0Latest
2026-07-09 · current release · diff ↗
0.1.0
2026-07-01
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-07-01
Total releases: 2 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Bundled data: 18 KB / 3 files
Download size: 58 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("icarm")

Format

Awe, O. O., & Ludwigsburg University of Education. (2026). icarm: Interpretable Contextual-Accountable and Responsible Machine Learning (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.icarm

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 icarm version 0.2.0 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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