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boostingDEA

0.1.0Package record

A Boosting Approach to Data Envelopment Analysis

0packages depend
2.7Kdownloads / year
59.4%test coverage
13/13flavors OK

Overview

About

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
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK13 OK2026-06-09
  • ERROR12 OK, 1 ERROR2026-06-08
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.0
READMEYes · 2 wordsVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
45
Examples that run
no examples
Exported functions with examples
0%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
2%
Vignettes (1)

Downloads

2.7K
CRAN downloads in the past year
Rank #16,721 · ~7/day · ~227/mo
Daily download trend is not available in this view yet.
28030 days
75990 days
2.7K1 year
Compare downloads with other packages →
Also on86 r2u9 autocran

Repository

Moved from itsmeryguillen/boostingdea.

4Stars
3Forks
0Open issues
0Open PRs
0Releases
18Commits
1Commit identities
License file reads as AGPL-3.0 · 18 commits · Last activity 2023-07-14 · 0% stars, 30d
Responsiveness
not measured

Stars over time

2023-07-05 · 22026-09-16 · 4
PracticesBeta

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

Checks run against github.com/itsmeryguillen/boostingdea on 2026-10-22.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
7 external dependencies (excludes base and recommended)

Installing boostingDEA adds 24 packages (15 with compiled code, 11 MB of source tarballs). Heaviest: gplots 4.6 MB, vctrs 1.0 MB, dplyr 902 KB.

Depends (1)
R >= 3.5.0
Imports (6)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (3)
Maintainer since 0.1.0 (2023), Author
Releases (1)
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 0.1.0Latest
    2023-05-15 · current release
  • R
    R 4.3.0 released · 2023-04-21

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

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 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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for boostingDEA version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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