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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
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:

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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.