Package: uwot Title: The Uniform Manifold Approximation and Projection (UMAP) Method for Dimensionality Reduction Version: 0.2.4.9000 Authors@R: c( person("James", "Melville", , "jlmelville@gmail.com", role = c("aut", "cre", "cph")), person("Aaron", "Lun", role = "ctb"), person("Mohamed Nadhir", "Djekidel", role = "ctb"), person("Yuhan", "Hao", role = "ctb"), person("Dirk", "Eddelbuettel", role = "ctb"), person("Wouter", "van der Bijl", role = "ctb"), person("Hugo", "Gruson", role = "ctb") ) Description: An implementation of the Uniform Manifold Approximation and Projection dimensionality reduction by McInnes et al. (2018) . 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) 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 () for more documentation and examples. License: GPL (>= 3) SystemRequirements: C++17 URL: https://github.com/jlmelville/uwot, https://jlmelville.github.io/uwot/ BugReports: https://github.com/jlmelville/uwot/issues Depends: Matrix Imports: FNN, irlba, methods, Rcpp, RcppAnnoy (>= 0.0.17), RSpectra Suggests: bigstatsr, covr, knitr, RcppHNSW, rmarkdown, rnndescent, testthat LinkingTo: dqrng, Rcpp, RcppAnnoy, RcppProgress VignetteBuilder: knitr Config/Needs/website: rmarkdown Encoding: UTF-8 RoxygenNote: 7.3.3 Repository: https://jlmelville.r-universe.dev Date/Publication: 2026-07-03 06:25:56 UTC RemoteUrl: https://github.com/jlmelville/uwot RemoteRef: HEAD RemoteSha: 8f525c8bd900dd253489aa8f6c1a614abcf8b19d NeedsCompilation: yes Packaged: 2026-07-03 08:23:27 UTC; root Author: James Melville [aut, cre, cph], Aaron Lun [ctb], Mohamed Nadhir Djekidel [ctb], Yuhan Hao [ctb], Dirk Eddelbuettel [ctb], Wouter van der Bijl [ctb], Hugo Gruson [ctb] Maintainer: James Melville