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cardinalR: Collection of Data Structures

A collection of functions to generate a large variety of structures in high dimensions. These data structures are useful for testing, validating, and improving algorithms used in dimensionality reduction, clustering, machine learning, and visualization.

Version: 0.1.10
Depends: R (≥ 4.1.0)
Imports: cli, dplyr, geozoo, gtools, MASS, mvtnorm, purrr, stats, tibble, tidyr
Suggests: knitr, langevitour, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-08-21
DOI: 10.32614/CRAN.package.cardinalR
Author: Jayani P. Gamage ORCID iD [aut, cre], Dianne Cook ORCID iD [aut], Paul Harrison ORCID iD [aut], Michael Lydeamore ORCID iD [aut], Thiyanga S. Talagala ORCID iD [aut]
Maintainer: Jayani P. Gamage <jayanilakshika76 at gmail.com>
BugReports: https://github.com/JayaniLakshika/cardinalR/issues
License: MIT + file LICENSE
URL: https://jayanilakshika.github.io/cardinalR/
NeedsCompilation: no
Language: en-GB
Materials: README, NEWS
CRAN checks: cardinalR results

Documentation:

Reference manual: cardinalR.html , cardinalR.pdf
Vignettes: Quick start (source, R code)
Example data structures (source, R code)

Downloads:

Package source: cardinalR_0.1.10.tar.gz
Windows binaries: r-devel: cardinalR_0.1.10.zip, r-release: cardinalR_0.1.10.zip, r-oldrel: cardinalR_0.1.10.zip
macOS binaries: r-release (arm64): cardinalR_0.1.10.tgz, r-oldrel (arm64): cardinalR_0.1.10.tgz, r-release (x86_64): cardinalR_0.1.10.tgz, r-oldrel (x86_64): cardinalR_0.1.10.tgz
Old sources: cardinalR archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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