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cardinalR: Collection of Data Structures

A collection of simple simulation datasets designed for generating Nonlinear Dimension Reduction representations techniques such as t-distributed Stochastic Neighbor Embedding, and Uniform Manifold Approximation and Projection. These datasets serve as a valuable resource for understanding the reliability of Nonlinear Dimension Reduction representations in various contexts.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: purrr, stats
Suggests: knitr, langevitour, rmarkdown, testthat (≥ 3.0.0)
Published: 2024-04-16
DOI: 10.32614/CRAN.package.cardinalR
Author: Jayani P.G. Lakshika 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.G. Lakshika <jayanilakshika76 at gmail.com>
BugReports: https://github.com/JayaniLakshika/cardinalR/issues
License: MIT + file LICENSE
URL: https://github.com/JayaniLakshika/cardinalR
NeedsCompilation: no
Language: en-GB
Materials: README NEWS
CRAN checks: cardinalR results

Documentation:

Reference manual: cardinalR.pdf
Vignettes: Example datasets

Downloads:

Package source: cardinalR_0.1.1.tar.gz
Windows binaries: r-devel: cardinalR_0.1.1.zip, r-release: cardinalR_0.1.1.zip, r-oldrel: cardinalR_0.1.1.zip
macOS binaries: r-release (arm64): cardinalR_0.1.1.tgz, r-oldrel (arm64): cardinalR_0.1.1.tgz, r-release (x86_64): cardinalR_0.1.1.tgz, r-oldrel (x86_64): cardinalR_0.1.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=cardinalR to link to this page.

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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