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Efficiency Analysis Trees

0packages depend
2.9Kdownloads / year
0.0%test coverage
13/13flavors OK

Overview

About

Functions are provided to determine production frontiers and technical efficiency measures through non-parametric techniques based upon regression trees. The package includes code for estimating radial input, output, directional and additive measures, plotting graphical representations of the scores and the production frontiers by means of trees, and determining rankings of importance of input variables in the analysis. Additionally, an adaptation of Random Forest by a set of individual Efficiency Analysis Trees for estimating technical efficiency is also included. More details in: doi:10.1016/j.eswa.2020.113783.

Install

Health

CRAN checks
13OK
Slowest check: 3.4 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.4
READMEYes · 2,491 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · does not mention 0.1.4Citation fileNoWebsiteYes
Help pages
67 (1 internal)includes a package overview page
Examples that run
26%5 run in a plain check · 14 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
89%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
1% with a bibliography file

Downloads

2.9K
CRAN downloads in the past year
Rank #13,918 · ~8/day · ~245/mo
Daily download trend is not available in this view yet.
33830 days
84390 days
2.9K1 year
Compare downloads with other packages →
Also on75 r2u4 autocran

Repository

6Stars
2Forks
0Open issues
0Open PRs
0Releases
282Commits
4Commit identities
282 commits · Last activity 2022-01-16 · 0% stars, 30d · The default branch showed an older version (0.1.2) than CRAN on 2026-10-18
Responsiveness
not measured

Stars over time

2025-02-22 · 52026-07-07 · 6
PracticesBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/miriamesteve/eat on 2026-10-18.

Docs source (1)
README.Rmd
CRAN release process (1)
cran-comments.md
Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies
14 external dependencies (excludes base and recommended)

Installing eat adds 49 packages (28 with compiled code, 40 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, partykit 2.1 MB.

Depends (1)
R >= 2.10
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (4)
Maintainer since 0.1.0 (2021), Author
Releases (5)

Pick two releases to compare their code metrics.

  • 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
  • R
    R 4.3.0 released · 2023-04-21
  • 0.1.4Latest
    record
    2023-01-10 · current release · diff ↗
  • 0.1.3
    record
    2022-08-15 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 0.1.2
    record
    2022-01-16 · diff ↗ ·
    removed 3 exports
    descrEAT, frontier.levels, size
    added 3 exports
    EAT_frontier_levels, EAT_leaf_stats, EAT_size
  • 0.1.1
    record
    2022-01-14 · diff ↗ ·
    removed 2 exports
    predictEAT, predictRFEAT
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.0
    record
    2021-04-09
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-04-09
Total releases
5 / 5 yrs
License
GPL-3 OSI
Minimum R
≥ 2.10
Bundled data
4.4 KB / 1 file
Download size
316 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("eat")
Esteve, M., Aparicio, J., Barber, X., & España, V. (2023). eat: Efficiency Analysis Trees (Version 0.1.4) [Computer software]. https://doi.org/10.32614/CRAN.package.eat

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 eat version 0.1.4 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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