psdea: Data Envelopment Analysis with User-Defined and Learned Reference Sets

Slacks-based data envelopment analysis for panel data in which the reference set is an explicit argument. A user-supplied weight matrix, or a matrix learned from the data by penalised non-negative reconstruction, selects the units that may enter each decision-making unit's frontier. The package reports the unrestricted and the restricted score, the ratio of the two and an exact decomposition of the shortfall into the part the restricted technology can remove and the part it cannot. Moran's I and local indicators of spatial association are provided as diagnostics. All linear programs are solved by a two-phase simplex with Bland's rule implemented in R, so the package needs no compiler.

Version:	1.0.0
Depends:	R (≥ 4.0)
Imports:	utils
Suggests:	testthat (≥ 3.0.0), knitr, rmarkdown
Published:	2026-10-28
DOI:	10.32614/CRAN.package.psdea
Author:	Jiachao Peng [aut, cre]
Maintainer:	Jiachao Peng <jiachao.peng at wit.edu.cn>
License:	GPL-3
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	psdea results

Documentation:

Reference manual:	psdea.html , psdea.pdf
Vignettes:	Reference-set data envelopment analysis with psdea (source, R code)

Downloads:

Package source:	psdea_1.0.0.tar.gz
Windows binaries:	r-devel: psdea_1.0.0.zip, r-release: psdea_1.0.0.zip, r-oldrel: not available
macOS binaries:	r-release (arm64): psdea_1.0.0.tgz, r-oldrel (arm64): psdea_1.0.0.tgz, r-release (x86_64): psdea_1.0.0.tgz, r-oldrel (x86_64): psdea_1.0.0.tgz

Linking:

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