DESCRIPTION

Package: uwot
Title: The Uniform Manifold Approximation and Projection (UMAP) Method for
    Dimensionality Reduction
Version: 0.2.2.9000
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")
  )
Description: An implementation of the Uniform Manifold Approximation and
    Projection dimensionality reduction by McInnes et al. (2018)
    <doi:10.48550/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) <doi:10.48550/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,
    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: 7.3.2