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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:0.1.4
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:2025-09-23
DOI:10.32614/CRAN.package.polarisR
Author:Divendra Yadav [aut, cre], Ursula LaaORCID iD [aut], Jayani P. GamageORCID iD [aut], Eun-Kyung Lee [aut]
Maintainer:Divendra Yadav <divendrasinghyadaviit at gmail.com>
BugReports:https://github.com/Divendra2006/polarisR/issues
License:MIT + fileLICENSE
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_0.1.4.tar.gz
Windows binaries: r-devel:polarisR_0.1.4.zip, r-release:polarisR_0.1.4.zip, r-oldrel:polarisR_0.1.4.zip
macOS binaries: r-release (arm64):polarisR_0.1.4.tgz, r-oldrel (arm64):polarisR_0.1.4.tgz, r-release (x86_64):polarisR_0.1.4.tgz, r-oldrel (x86_64):polarisR_0.1.4.tgz
Old sources: polarisR archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=polarisRto link to this page.


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