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polarisR: Non-Linear Dimensionality Reduction Visualization Tool

A 'shiny' application for visualizing high-dimensional data using non-linear dimensionality reduction (NLDR) techniques such as t-SNE and UMAP. It provides an interactive platform to explore high-dimensional datasets, diagnose the quality of the embeddings using the 'quollr' package, and compare different NLDR methods.

Version: 0.1.3
Depends: R (≥ 4.1.0)
Imports: bslib, crosstalk, detourr, dplyr, DT, FNN, future, ggplot2, magrittr, plotly, quollr, Rtsne, scales, shiny, stats, tools, tourr, umap, utils
Suggests: knitr, rmarkdown, spelling, testthat (≥ 3.0.0)
Published: 2025-09-15
Author: Divendra Yadav [aut, cre], Ursula Laa ORCID iD [aut], Jayani P. Gamage ORCID iD [aut], Eun-Kyung Lee [aut]
Maintainer: Divendra Yadav <divendrasinghyadaviit at gmail.com>
BugReports: https://github.com/Divendra2006/polarisR/issues
License: MIT + file LICENSE
URL: https://github.com/Divendra2006/polarisR, https://divendra2006.github.io/polarisR/
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: polarisR results

Documentation:

Reference manual: polarisR.html , polarisR.pdf
Vignettes: An Introduction to polarisR (source)
polarisR: Tips, Requirements, and Support (source, R code)

Downloads:

Package source: polarisR_0.1.3.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

Please use the canonical form https://CRAN.R-project.org/package=polarisR 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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