R Observatory: Metrics for icarm version 0.3.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

icarm

0.3.0Package record

Interpretable Contextual-Accountable and Responsible Machine Learning

0packages depend

1Kdownloads / year

0.0%test coverage

13/13flavors OK

Overview

About

Maintained by Olushina Olawale AweCRAN page ↗Declared funder: Ludwigsburg University of Education

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. 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-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). 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: 1.4 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK6 OK2026-07-01

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.3.0

READMEYes · 420 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 39 (1 internal)includes a package overview page
Examples that run: 100%30 run in a plain check
Exported functions with examples: 81%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 3%

How these are measured

Downloads

1K

CRAN downloads in the past year

Rank #15,307 · ~3/day · ~86/mo

Releases R versions

Daily download trend is not available in this view yet.

32130 days

79190 days

1K1 year

Compare downloads with other packages →

Also on32 r2u3 autocran

How downloads are counted

Dependencies

Declared dependencies

22 external dependencies (excludes base and recommended)

Installing icarm adds 31 packages (17 with compiled code, 29 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, isoband 1.5 MB.

Depends (1)

R >= 4.1.0

Imports (12)

statsutilsrpartclassggplot2 dplyr tidyr tibble purrr rlang jsonlite digest

LinkingTo (0)

none

Suggests (17)

randomForest xgboost e1071mgcvglmnetnnetDALEX pROC lightgbm ipredMASSggiraph rmarkdown future future.apply testthat covr

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 (2)

Olushina Olawale Awe

Author, Maintainer since 0.1.0 (2026)

Ludwigsburg University of Education

Funder

Releases (3)

Pick two releases to compare their code metrics.

0.3.0Latest
record
2026-07-09 · current release · diff ↗ ·
added 6 exports
icarm_ale, icarm_drift, icarm_cv, icarm_plot_ale, icarm_plot_drift, icarm_plot_cv
0.2.0
record
2026-07-09 · diff ↗ ·
added 6 exports
icarm_shap, icarm_pdp, icarm_learning_curve, icarm_plot_shap, icarm_plot_pdp, icarm_plot_learning_curve
0.1.0
record
2026-06-30
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-06-30
Total releases: 3 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Bundled data: 18 KB / 3 files
Download size: 65 KB

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 0.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.icarm

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 icarm version 0.3.0 [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.

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