Package: psdea
Type: Package
Title: Data Envelopment Analysis with User-Defined and Learned
        Reference Sets
Version: 1.0.0
Authors@R: person("Jiachao", "Peng", email = "jiachao.peng@wit.edu.cn",
    role = c("aut", "cre"))
Author: Jiachao Peng [aut, cre]
Maintainer: Jiachao Peng <jiachao.peng@wit.edu.cn>
Description: 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.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 4.0)
Imports: utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-10-28 19:50:46 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-28 11:10:02 UTC
RemoteUrl: https://github.com/cran/psdea
RemoteRef: HEAD
RemoteSha: bbaf2c330e41bcd7a1a376ad10936f616fe6051f