deaviz: Visualization of Data Envelopment Analysis Problems
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 |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=deaviz
to link to this page.