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).
Version: 0.1.0 Depends: R (≥ 3.5.0) Imports: Rglpk, dplyr, lpSolveAPI, stats, MLmetrics, methods Suggests: knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2023-05-15 DOI: 10.32614/CRAN.package.boostingDEA Author: Maria D. Guillen [cre, aut], Juan Aparicio [aut], VÃctor España [aut] Maintainer: Maria D. Guillen <maria.guilleng at umh.es> BugReports: https://github.com/itsmeryguillen/boostingDEA/issues License: AGPL (≥ 3) URL: https://github.com/itsmeryguillen/boostingDEA NeedsCompilation: no Materials: README CRAN checks: boostingDEA results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=boostingDEA to link to this page.
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