Package: deaviz
Type: Package
Title: Visualization of Data Envelopment Analysis Problems
Version: 0.1.0
Authors@R: person("Shahin", "Ashkiani", role = c("aut", "cre"),
                  email = "Contact@Shahin-Ashkiani.com")
Description: High-dimensional visualization methods for data envelopment
    analysis (DEA), gathering in one place techniques that have appeared in the
    literature but remained scattered and largely unimplemented: cross-efficiency
    matrix unfolding, the Porembski network with lambda edges,
    principal component analysis biplots, multidimensional-scaling
    colour-plots, self-organizing maps, the Costa bi-dimensional efficient
    frontier, parallel coordinates, radar charts, panel-data trajectory biplots,
    peer and reference networks, and a set of descriptive plots. The package is
    built around a single validated dea_data() object and uses the 'Benchmarking'
    package as its DEA engine. The implemented methods draw on a body of
    literature; representative references include Doyle and Green (1994)
    <doi:10.1057/jors.1994.84>, Porembski, Breitenstein and Alpar (2005)
    <doi:10.1007/s11123-005-1328-5> and Bana e Costa, Soares de Mello and Angulo
    Meza (2016) <doi:10.1016/j.ejor.2016.05.012>.
License: AGPL (>= 3)
Encoding: UTF-8
Language: en-GB
URL: https://github.com/Pomelo64/deaviz
BugReports: https://github.com/Pomelo64/deaviz/issues
LazyData: true
Depends: R (>= 3.6.0)
Imports: rlang, stats, utils, grDevices, graphics, ggplot2 (>= 3.4.0)
Suggests: Benchmarking, lpSolve, lpSolveAPI, kohonen, smacof, plotly,
        ggrepel, igraph, graphlayouts, MASS, testthat (>= 3.0.0),
        knitr, rmarkdown
VignetteBuilder: knitr
Config/roxygen2/version: 8.0.0
NeedsCompilation: no
Packaged: 2026-06-26 16:56:01 UTC; shaahin
Author: Shahin Ashkiani [aut, cre]
Maintainer: Shahin Ashkiani <Contact@Shahin-Ashkiani.com>
Repository: CRAN
Date/Publication: 2026-07-02 18:30:07 UTC
Built: R 4.6.1; ; 2026-09-02 03:22:45 UTC; windows
