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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "deaviz" in publications use:'
type: software
license: AGPL-3.0-or-later
title: 'deaviz: Visualization of Data Envelopment Analysis Problems'
version: 0.1.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.deaviz
abstract: '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) <https://doi.org/10.1057/jors.1994.84>, Porembski, Breitenstein and
  Alpar (2005) <https://doi.org/10.1007/s11123-005-1328-5> and Bana e Costa, Soares
  de Mello and Angulo Meza (2016) <https://doi.org/10.1016/j.ejor.2016.05.012>.'
authors:
- family-names: Ashkiani
  given-names: Shahin
  email: Contact@Shahin-Ashkiani.com
preferred-citation:
  type: thesis
  title: Four Essays on Data Visualization and Anomaly Detection of Data Envelopment
    Analysis Problems
  authors:
  - family-names: Ashkiani
    given-names: Shahin
    email: Contact@Shahin-Ashkiani.com
  institution:
    name: Universitat Autònoma de Barcelona
    address: Barcelona, Spain
  year: '2019'
  url: https://ddd.uab.cat/record/240333
  thesis-type: PhD Thesis
repository: https://pomelo64.r-universe.dev
repository-code: https://github.com/Pomelo64/deaviz
commit: d78abcde82762fc55982d66066d09ffcb3082ca7
url: https://github.com/Pomelo64/deaviz
date-released: '2026-06-26'
contact:
- family-names: Ashkiani
  given-names: Shahin
  email: Contact@Shahin-Ashkiani.com
references:
- type: manual
  title: 'deaviz: Visualization of Data Envelopment Analysis Problems'
  authors:
  - family-names: Ashkiani
    given-names: Shahin
  year: '2026'
  notes: R package version 0.1.0
  url: https://ddd.uab.cat/record/240333