A Boosting Approach to Data Envelopment Analysis
Overview
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
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK14 OK2026-03-10
Documentation
- 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%
- boostingDEA HTML
Downloads
Repository
Moved from itsmeryguillen/boostingdea.
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Forks over time
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.
Dependencies
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.
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.1.0Latest2023-05-15 · current release
- RR 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
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