Package: uwot
Title: The Uniform Manifold Approximation and Projection (UMAP) Method
        for Dimensionality Reduction
Version: 0.1.5
Authors@R: 
    c(person("James", "Melville", email = "jlmelville@gmail.com", role = c("aut", "cre")),
    person("Aaron", "Lun", role="ctb"),person("Mohamed Nadhir", "Djekidel", role="ctb"))
Description: 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.
License: GPL-3
URL: https://github.com/jlmelville/uwot
BugReports: https://github.com/jlmelville/uwot/issues
Encoding: UTF-8
LazyData: true
Suggests: testthat, covr
RoxygenNote: 7.0.2
Depends: Matrix
LinkingTo: Rcpp, RcppProgress, RcppParallel, RcppAnnoy, dqrng
Imports: Rcpp, methods, FNN, RSpectra, RcppAnnoy (>= 0.0.11),
        RcppParallel, irlba
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2019-12-04 08:05:20 UTC; jlmel
Author: James Melville [aut, cre],
  Aaron Lun [ctb],
  Mohamed Nadhir Djekidel [ctb]
Maintainer: James Melville <jlmelville@gmail.com>
Repository: CRAN
Date/Publication: 2019-12-04 16:20:02 UTC
Built: R 3.6.3; x86_64-pc-linux-gnu; 'Tue, 24 Mar 2020 15:01:18 +0100'; unix
