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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>.
| Version: | 0.1.0 |
| 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 |
| Published: | 2026-07-02 |
| DOI: | 10.32614/CRAN.package.deaviz (may not be active yet) |
| Author: | Shahin Ashkiani [aut, cre] |
| Maintainer: | Shahin Ashkiani <Contact at Shahin-Ashkiani.com> |
| BugReports: | https://github.com/Pomelo64/deaviz/issues |
| License: | AGPL (≥ 3) |
| URL: | https://github.com/Pomelo64/deaviz |
| NeedsCompilation: | no |
| Language: | en-GB |
| Citation: | deaviz citation info |
| Materials: | README, NEWS |
| CRAN checks: | deaviz results |
| Reference manual: | deaviz.html , deaviz.pdf |
| Vignettes: |
Getting started with deaviz (source, R code) |
| Package source: | deaviz_0.1.0.tar.gz |
| Windows binaries: | r-devel: deaviz_0.1.0.zip, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): deaviz_0.1.0.tgz, r-oldrel (arm64): deaviz_0.1.0.tgz, r-release (x86_64): deaviz_0.1.0.tgz, r-oldrel (x86_64): deaviz_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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