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) , Porembski, Breitenstein and Alpar (2005) and Bana e Costa, Soares de Mello and Angulo Meza (2016) . 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 Roxygen: list(markdown = FALSE) VignetteBuilder: knitr Config/roxygen2/version: 8.0.0 Repository: https://pomelo64.r-universe.dev Date/Publication: 2026-06-26 17:09:15 UTC RemoteUrl: https://github.com/pomelo64/deaviz RemoteRef: HEAD RemoteSha: d78abcde82762fc55982d66066d09ffcb3082ca7 NeedsCompilation: no Packaged: 2026-07-03 07:51:15 UTC; root Author: Shahin Ashkiani [aut, cre] Maintainer: Shahin Ashkiani