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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 |
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 |
Reference manual: | boostingDEA.pdf |
Vignettes: |
boostingDEA |
Package source: | boostingDEA_0.1.0.tar.gz |
Windows binaries: | r-devel: boostingDEA_0.1.0.zip, r-release: boostingDEA_0.1.0.zip, r-oldrel: boostingDEA_0.1.0.zip |
macOS binaries: | r-release (arm64): boostingDEA_0.1.0.tgz, r-oldrel (arm64): boostingDEA_0.1.0.tgz, r-release (x86_64): boostingDEA_0.1.0.tgz, r-oldrel (x86_64): boostingDEA_0.1.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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