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Set of functions for Stochastic Data Envelopment Analysis. Chance constrained versions of radial, directional and additive DEA models are implemented, as long as super-efficiency models. See: Cooper, W.W.; Deng, H.; Huang, Z.; Li, S.X. (2002). <doi:10.1057/palgrave.jors.2601433>, Bolós, V.J.; Benítez, R.; Coll-Serrano, V. (2024) <doi:10.1016/j.orp.2024.100307>.
Version: | 1.0.0 |
Depends: | R (≥ 3.5) |
Imports: | optiSolve, deaR |
Published: | 2025-09-14 |
DOI: | 10.32614/CRAN.package.SdeaR |
Author: | Vicente Bolós [aut, cre], Vicente Coll-Serrano [aut], Rafael Benítez Suárez [aut] |
Maintainer: | Vicente Bolós <vicente.bolos at uv.es> |
License: | GPL-2 | GPL-3 [expanded from: GPL] |
NeedsCompilation: | no |
CRAN checks: | SdeaR results |
Reference manual: | SdeaR.html , SdeaR.pdf |
Package source: | SdeaR_1.0.0.tar.gz |
Windows binaries: | r-devel: SdeaR_1.0.0.zip, r-release: SdeaR_1.0.0.zip, r-oldrel: SdeaR_1.0.0.zip |
macOS binaries: | r-release (arm64): SdeaR_1.0.0.tgz, r-oldrel (arm64): SdeaR_1.0.0.tgz, r-release (x86_64): SdeaR_1.0.0.tgz, r-oldrel (x86_64): SdeaR_1.0.0.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.