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EEML

0.1.1

Ensemble Explainable Machine Learning Models

0packages depend
2.4Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Dr. Ranjit Kumar PaulFirst published 2024-07-142 releasesCRAN page ↗

We introduced a novel ensemble-based explainable machine learning model using Model Confidence Set (MCS) and two stage Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) algorithm. The model combined the predictive capabilities of different machine-learning models and integrates the interpretability of explainability methods. To develop the proposed algorithm, a two-stage Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) framework was employed. The package has been developed using the algorithm of Paul et al. (2023) doi:10.1007/s40009-023-01218-x and Yeasin and Paul (2024) doi:10.1007/s11227-023-05542-3.

Install

Health

CRAN checks
13OK
Slowest check: 55 s · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
4
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
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
33%
Documented parameters
100%
Return-value docs
100%
References docs
100%

Downloads

2.4K
CRAN downloads in the past year
Rank #23,034 · ~7/day · ~199/mo
Daily download trend is not available in this view yet.
12130 days
44590 days
2.4K1 year
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Also on404 r2u11 autocran

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (0)
none
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (3)
Author, Maintainer
Listed in earlier versions (1)
no longer listed · 0.1.0
Package Timeline

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

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.1Latest
    2024-08-01 · current release · diff ↗
  • 0.1.0
    2024-07-14
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-07-14
Total releases
2 / 2 yrs
License
GPL-3 OSI
Download size
3.0 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("EEML")
Paul, D. R. K., Haldar, D. D., & Yeasin, D. M. (2024). EEML: Ensemble Explainable Machine Learning Models (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.EEML

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for EEML version 0.1.1 [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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