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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
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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 |
Reference manual: | cardinalR.pdf |
Vignettes: |
Example datasets |
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 |
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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