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deaviz

0.1.0CRAN

Visualization of Data Envelopment Analysis Problems

install.packages("deaviz")
CRAN 30-day downloads, method
262−28.6% down on the 30 days before, the worse direction

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 ...

Full 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>.

Maintainer
Shahin Ashkiani
Latest release
2 Jul 2026
First release
2 Jul 2026

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More details
Releases
1
Needs compilation
No
Needs R
>= 3.6.0
Config/roxygen2/version
8.0.0
Language
en-GB
LazyData
true
Subjects (2) Method, Subjects
Cite

Package

Run in R for the authors' entry:

citation("deaviz")

The package provides a citation file, so citation() returns the authors' own entry.

R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA
Balamuta, J. J. (2026). R Observatory: Metrics for deaviz version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-29. https://doi.org/10.5281/zenodo.21843040
About

From data release v2026-10-29, which the citation names so these numbers can be found later.

All 13 check platforms pass.

  • r-devel-linux-x86_64-debian-clang

    The unreleased R on Linux, x86_64, debian-clang

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    Version checked
    0.1.0
    Time taken
    102 s
  • r-devel-linux-x86_64-debian-gcc

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    72 s
  • r-devel-linux-x86_64-fedora-clang

    The unreleased R on Linux, x86_64, fedora-clang

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    66 s
  • r-devel-linux-x86_64-fedora-gcc

    The unreleased R on Linux, x86_64, fedora-gcc

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    The unreleased R on Windows, x86_64

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    The previous release of R on macOS, arm64

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    The previous release of R on macOS, x86_64

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  • r-oldrel-windows-x86_64

    The previous release of R on Windows, x86_64

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    0.1.0
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    148 s
  • r-patched-linux-x86_64

    The patched release of R on Linux, x86_64

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  • r-release-linux-x86_64

    The current release of R on Linux, x86_64

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    0.1.0
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    94 s
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    The current release of R on macOS, arm64

    OK

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    0.1.0
    Time taken
    38 s
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    The current release of R on macOS, x86_64

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    98 s
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    The current release of R on Windows, x86_64

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  • 13 OK

Over time

No change since 5 Aug 2026

As a list (3)
ChangedWorst statusOKNotesWarningsErrors
5 Aug 2026OK13000
1 Aug 2026Note12100
3 Jul 2026OK6000

Since March 2026

Check results on CRAN

Total downloads in the last 30 days
270−30.2% down on the 30 days before, the worse directionIt is the sum of 3 channels: CRAN, r2u and autoCRAN.

CRAN rank

17,125 of 26,553

CRAN

262 downloads in the last 30 days

Rank
17,125 of 26,553
Change
−28.6% down on the 30 days before, the worse direction

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r2u

5 downloads in the last 30 days

Rank
9,299 of 30,526
Change
−28.6% down on the 30 days before, the worse direction

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autoCRAN

3 downloads in the last 30 days

Rank
18,475 of 29,233
Change
−76.9% down on the 30 days before, the worse direction

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Over time

Compare downloads

Needs
6
Dependent packages
0
Suggested by
0
Needs (6)
Installing it adds
17 packages, 13.6 MB of source
Of those, need compilation
7
Optional extras (13)
Functions
61
Public exports
27
Lines of R code
4,009
Median complexity
6
Functions (61)
Size and composition

Lines by kind (6,627)

KindLinesShare
R code4,00960%
Documentation2,25134%
Guides3676%

Lines by language

LanguageLinesShare
R4,00961%
Rd2,25134%
Vignettes3676%

Languages are counted from file extensions.

Files
72
R functions
61
Object systems
S3: 2 methods
Complexity
Median
6
Mean
8.69
Highest
55
Median lines per function
20
About complexity

Cyclomatic complexity counts the independent paths through a function: 1 is a straight line, higher is harder to test. R functions only.

Call graph figures
R functions
61
Calls
220
Unconnected
2
Groups
1

The package was built and has no tests to run.

Lines of tests
0
Exports named in tests
0%
Test suite
Has tests
No
Test frameworks
testthat
Test lines per line of code
0
Exports documented
100%
Arguments documented
94.6%
Return value documented
100%
Help pages with examples
90%
Examples run in checks
100%
Guides (1)
Other documentation
README
Yes, 510 words
Release notes file
Yes
Help pages
30
Lines of documentation
2,251
DatasetSizeColumns
chinese_citiesInputs and outputs of 35 major Chinese cities35 × 7DMU, industrial_labour_force, working_funds, investments, gross_industrial_output, profit_and_tax and 1 more
taiwanese_banksInputs and outputs of 22 Taiwanese commercial banks, 2009-201166 × 8DMU, Year, labour, physical_capital, purchased_funds, demand_deposits and 2 more

Pomelo64 / deaviz on github.com

Stars
1no change on 30 days ago
Forks
1
Open issues
0
Last commit
26 Jun 2026
Activity
Commits
8
Open pull requests
0
Tagged releases
0
Latest tagged release
–
Issues closed in
–
Pull requests closed in
–
Pull requests merged
–
Created
22 Jun 2026
Licence file reads as
AGPL-3.0
Development practices (5)
KindFound
Continuous integrationGitHub Actions, R CMD check workflow
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Docs sourceGitHub Pages site last deployed 2026-08-08
CRAN release processcran-comments.md, CRAN-SUBMISSION

Method, repository practices

Across Pomelo64

R releases
  • On CRAN
  • Release
VersionReleasedR
0.1.0 current2 Jul 20264.6.1
Release notes (0.1.0)
  • First release: a from-scratch rebuild of the DEA-Viz visualization methods as an R package.
  • All functions are built on a single validated dea_data object and follow a compute_* / plot_* naming convention.
  • Analysis: compute_efficiency(), compute_cross_efficiency(), compute_cross_efficiency_weights(), standardize_weights(), compute_multiplier_weights(), compute_som().
  • Visualization: plot_efficiency_bar(), plot_efficiency_comparison(), plot_cross_efficiency(), plot_cem_unfolding(), plot_cross_efficiency_weights_heatmap(), plot_pca_biplot(), plot_mds(), plot_porembski_network(), plot_panel_biplot(), plot_som(), plot_som_components(), plot_costa_frontier(), plot_parallel_coordinates(), plot_3d_scatter(), plot_histograms(), plot_dotplots(), plot_pairwise_scatter(), plot_input_output_heatmap().
  • Ships the chinese_cities example dataset (35 cities, 3 inputs, 3 outputs).
  • Consistent, colour-blind-safe visual style across all plots: Okabe-Ito qualitative palette, viridis sequential palette, and a shared minimal theme.