R Observatory: Metrics for PEAXAI version 1.0.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

PEAXAI

1.0.3Package record

Probabilistic Efficiency Analysis Using Explainable Artificial Intelligence

0packages depend

4Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Ricardo González MoyanoCRAN page ↗GitHub ↗Issues ↗

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. 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-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

CRAN check page ↗

Slowest check: 8.9 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09

Show 4 earlier changesHide 4 earlier changes

ERROR12 OK, 1 ERROR2026-06-08
OK13 OK2026-05-02
ERROR11 OK, 1 ERROR2026-04-25
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.3

READMEYes · 845 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Description cites a JSS article

Help pages: 22 (5 internal)
Examples that run: 38%5 run in a plain check · 7 only when donttest examples are enabled (R CMD check --as-cran) · 1 hold no code
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

PEAXAI: Probabilistic Efficiency Analysis using Explainable Artificial Intelligence

How these are measured

Downloads

4K

CRAN downloads in the past year

Rank #14,725 · ~11/day · ~337/mo

Releases R versions

Daily download trend is not available in this view yet.

30030 days

80190 days

4K1 year

Compare downloads with other packages →

Also on88 r2u

How downloads are counted

Repository

rgonzalezmoyano/peaxai ↗Account: rgonzalezmoyano

1Stars

1Forks

0Open issues

0Open PRs

0Releases

80Commits

1Commit identities

80 commits · Last activity 2026-09-14

Responsiveness

not measured

Stars over time

2026-07-07 · 02026-10-02 · 1

How these are measured

PracticesBeta

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

Checks run against github.com/rgonzalezmoyano/peaxai on 2026-10-11.

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

16 external dependencies (excludes base and recommended)

Installing PEAXAI adds 165 packages (93 with compiled code, 139 MB of source tarballs). Heaviest: stringi 11 MB, TH.data 8.2 MB, ggplot2 6.0 MB.

Depends (1)

R >= 4.4.0

Imports (14)

Benchmarking caret deaR dplyr kernelshap iml lime np PRROC pROC rminer rmsstatspeakRAM

LinkingTo (0)

none

Suggests (3)

ggplot2 knitr rmarkdown

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 (4)

Ricardo González Moyano

Maintainer since 0.1.0 (2025), Author

Juan Aparicio

Author

Víctor España

Author

José Luis Zofío

Author

Releases (5)

Pick two releases to compare their code metrics.

1.0.3Latest
record
2026-08-23 · current release · diff ↗ ·
removed 4 exports
SMOTE_Z_data, SMOTE_data, find_beta_maxmin, label_efficiency

added 1 export
reffcy
1.0.2
record
2026-06-01 · diff ↗
1.0.1
record
2026-05-19 · diff ↗ ·
removed 1 export
PEAXAI_targets

added 3 exports
PEAXAI_counterfactuals, PEAXAI_local_importance, SMOTE_Z_data
R
R 4.6.0 released · 2026-04-24
1.0.0
record
2026-01-07 · diff ↗ ·
added 1 export
PEAXAI_predict
0.1.0
record
2025-12-02
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-12-02
Total releases: 5 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.4.0
Bundled data: 45 KB / 4 files
Download size: 154 KB

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 1.0.3) [Computer software]. https://doi.org/10.32614/CRAN.package.PEAXAI

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 PEAXAI version 1.0.3 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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