uwot: The Uniform Manifold Approximation and Projection (UMAP) Method for Dimensionality Reduction

An implementation of the Uniform Manifold Approximation and Projection dimensionality reduction by McInnes et al. (2018) <arXiv:1802.03426>. It also provides means to transform new data and to carry out supervised dimensionality reduction. An implementation of the related LargeVis method of Tang et al. (2016) <arXiv:1602.00370> is also provided. This is a complete re-implementation in R (and C++, via the 'Rcpp' package): no Python installation is required. See the uwot website (<https://github.com/jlmelville/uwot>) for more documentation and examples.

Version: 0.1.10
Depends: Matrix
Imports: Rcpp, methods, FNN, RSpectra, RcppAnnoy (≥ 0.0.17), irlba
LinkingTo: Rcpp, RcppProgress, RcppAnnoy, dqrng
Suggests: testthat, covr
Published: 2020-12-15
Author: James Melville [aut, cre], Aaron Lun [ctb], Mohamed Nadhir Djekidel [ctb], Yuhan Hao [ctb]
Maintainer: James Melville <jlmelville at gmail.com>
BugReports: https://github.com/jlmelville/uwot/issues
License: GPL (≥ 3)
URL: https://github.com/jlmelville/uwot
NeedsCompilation: yes
Materials: NEWS
CRAN checks: uwot results


Reference manual: uwot.pdf
Package source: uwot_0.1.10.tar.gz
Windows binaries: r-devel: uwot_0.1.10.zip, r-devel-UCRT: uwot_0.1.10.zip, r-release: uwot_0.1.10.zip, r-oldrel: uwot_0.1.10.zip
macOS binaries: r-release (arm64): uwot_0.1.10.tgz, r-release (x86_64): uwot_0.1.10.tgz, r-oldrel: uwot_0.1.10.tgz
Old sources: uwot archive

Reverse dependencies:

Reverse imports: celda, CiteFuse, embed, EmbedSOM, iCellR, infinityFlow, MOFA2, mumosa, musicatk, pipeComp, rliger, sccore, scDHA, Seurat, singleCellTK
Reverse suggests: CATALYST, celltrackR, conos, curatedMetagenomicData, densvis, DepecheR, doc2vec, dyndimred, dynplot, healthyR, iSEEu, miloR, netSmooth, pagoda2, ProjectionBasedClustering, SCArray, scater, scp, SingleCellMultiModal, slingshot, tidySingleCellExperiment


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