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deaviz
View on CRAN: Click
here
Download and install deaviz package within the R console
Install from CRAN:
install.packages("deaviz")
Install from Github:
library("remotes")
install_github("cran/deaviz") Install by package version:
library("remotes")
install_version("deaviz", "0.1.0") Attach the package and use:
library("deaviz")
Maintained by
Shahin Ashkiani
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[Scholar Profile | Author Map]
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First Published: 2026-07-02
Latest Update: 2026-07-02
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>.
How to cite:
Shahin Ashkiani (2026). deaviz: Visualization of Data Envelopment Analysis Problems. R package version 0.1.0, https://cran.r-project.org/web/packages/deaviz. Accessed 03 Oct. 2026.
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