R Observatory: Metrics for PEAXAI version 1.0.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

PEAXAI

1.0.2

Probabilistic Efficiency Analysis Using Explainable Artificial Intelligence

0packages depend

3.4Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Ricardo González MoyanoFirst published 2025-12-024 releasesCRAN page ↗GitHub ↗

Provides a probabilistic framework that integrates Data Envelopment Analysis (DEA) (Banker et al., 1984) doi:10.1287/mnsc.30.9.1078 with machine learning classifiers (Kuhn, 2008) doi:10.18637/jss.v028.i05 to estimate both the (in)efficiency status and the probability of efficiency for decision-making units. The approach trains predictive models on DEA-derived efficiency labels (Charnes et al., 1985) doi:10.1016/0304-4076(85)90133-2, enabling explainable artificial intelligence (XAI) workflows with global and local interpretability tools, including permutation importance (Molnar et al., 2018) doi:10.21105/joss.00786, Shapley value explanations (Strumbelj & Kononenko, 2014) doi:10.1007/s10115-013-0679-x, and sensitivity analysis (Cortez, 2011) https://CRAN.R-project.org/package=rminer. The framework also supports probability-threshold peer selection and counterfactual improvement recommendations for benchmarking and policy evaluation. The probabilistic efficiency framework is detailed in González-Moyano et al. (2025) "Probability-based Technical Efficiency Analysis through Machine Learning", in review for publication.

Install

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

install.packages("PEAXAI", 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("rgonzalezmoyano/PEAXAI")

Development version from rgonzalezmoyano/PEAXAI. 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-peaxai

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-PEAXAI

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

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

Health

CRAN checks

13OK

Slowest check: 8.5 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

14

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
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-05-02
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 2 earlier snapshots

ERROR2026-04-25
11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 845 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 36%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

3.4K

CRAN downloads in the past year

Rank #9,414 · ~9/day · ~283/mo

Releases R versions

Daily download trend is not available in this view yet.

15730 days

99890 days

3.4K1 year

Compare downloads with other packages →

Also on67 r2u

Repository

GitHub ↗ rgonzalezmoyano/peaxai

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2026-08-14

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/rgonzalezmoyano/peaxai on 2026-08-16.

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

16 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5

Imports (14)

Benchmarking caret deaR dplyr kernelshap iml isotone lime np PRROC pROC rminer rmsstats

LinkingTo (0)

none

Suggests (3)

ggplot2 knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (4)

Maintainer (1)

Ricardo González Moyano

Maintainer, Author

Authors (4)

Ricardo González Moyano

Maintainer, Author

Juan Aparicio

Author

Víctor España

Author

José Luis Zofío

Author

Package Timeline

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

1.0.2Latest
2026-06-01 · current release · diff ↗
1.0.1
2026-05-19 · diff ↗
R
R 4.6.0 released · 2026-04-24
1.0.0
2026-01-07 · diff ↗
0.1.0
2025-12-02
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-12-02
Total releases: 4 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5
Bundled data: 45 KB / 4 files
Download size: 139 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PEAXAI")

Format

González Moyano, R., Aparicio, J., España, V., & Zofío, J. L. (2026). PEAXAI: Probabilistic Efficiency Analysis Using Explainable Artificial Intelligence (Version 1.0.2) [Computer software]. https://doi.org/10.32614/CRAN.package.PEAXAI

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 PEAXAI version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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