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boostingDEA

0.1.0

A Boosting Approach to Data Envelopment Analysis

0packages depend
2.6Kdownloads / year
59.4%test coverage
13/13checks pass

Overview

About
Maintained by Maria D. GuillenFirst published 2023-05-151 releasesCRAN page ↗GitHub ↗

Includes functions to estimate production frontiers and make ideal output predictions in the Data Envelopment Analysis (DEA) context using both standard models from DEA and Free Disposal Hull (FDH) and boosting techniques. In particular, EATBoosting (Guillen et al., 2023 doi:10.1016/j.eswa.2022.119134) and MARSBoosting. Moreover, the package includes code for estimating several technical efficiency measures using different models such as the input and output-oriented radial measures, the input and output-oriented Russell measures, the Directional Distance Function (DDF), the Weighted Additive Measure (WAM) and the Slacks-Based Measure (SBM).

Install

Health

CRAN checks
13OK
Slowest check: 5.4 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.09
59.4%
Coverage · measured lines
100%
Documentation · exports
6
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
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 2 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
not tracked
Documented parameters
100%
Return-value docs
100%
References docs
2%

Downloads

2.6K
CRAN downloads in the past year
Rank #15,596 · ~7/day · ~214/mo
Daily download trend is not available in this view yet.
19630 days
67090 days
2.6K1 year
Compare downloads with other packages →
Also on116 r2u28 autocran

Repository

Repository
3Stars
3Forks
0Open issues
0Open PRs
0Releases
18Commits
1Contributors
License AGPL-3.0 · 18 commits · Last activity 2023-07-14 · 0% stars, 30d

Stars over time

2023-07-05 · 22026-07-07 · 3

Repository practices

Upstream repositoryBeta

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

Checks run against github.com/itsmeryguillen/boostingdea on 2026-08-16.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
Imports (6)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Maintainer, Author
Authors (3)
Maintainer, Author
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2023-05-15
Total releases
1 / 3 yrs
License
AGPL (>= 3) OSI
Minimum R
≥ 3.5.0
Bundled data
1.1 KB / 1 file
Download size
68 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("boostingDEA")
Guillen, M. D., Aparicio, J., & España, V. (2023). boostingDEA: A Boosting Approach to Data Envelopment Analysis (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.boostingDEA

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 boostingDEA version 0.1.0 [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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