Efficiency Analysis Trees
Overview
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
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- 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
Repository
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Checks run against github.com/miriamesteve/eat on 2026-10-18.
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 0.1.4Latest
- 0.1.32022-08-15 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 0.1.22022-01-16 · diff ↗ ·
removed 3 exports
descrEAT, frontier.levels, sizeadded 3 exports
EAT_frontier_levels, EAT_leaf_stats, EAT_size - 0.1.1
- RR 4.1.0 released · 2021-05-18
- 0.1.02021-04-09
- RR 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
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