Package: lmds
Type: Package
Title: Landmark Multi-Dimensional Scaling
Version: 0.1.0
Authors@R: c(
    person(
      "Robrecht", "Cannoodt", 
      email = "rcannood@gmail.com", 
      role = c("aut", "cre"),
      comment = c(ORCID = "0000-0003-3641-729X", github = "rcannood")
    ),
    person(
      "Wouter", "Saelens", 
      email = "wouter.saelens@gmail.com", 
      role = c("aut"), 
      comment = c(ORCID = "0000-0002-7114-6248", github = "zouter")
    )
  )
Description: 
  A fast dimensionality reduction method scaleable to large numbers of samples.
  Landmark Multi-Dimensional Scaling (LMDS) is an extension of classical Torgerson MDS,
  but rather than calculating a complete distance matrix between all pairs of samples,
  only the distances between a set of landmarks and the samples are calculated.
License: GPL-3
Encoding: UTF-8
LazyData: true
Imports: assertthat, dynutils (>= 1.0.3), irlba, Matrix
Suggests: testthat
RoxygenNote: 6.1.1
URL: http://github.com/dynverse/lmds
BugReports: https://github.com/dynverse/lmds/issues
Collate: 'cmdscale_landmarks.R' 'select_landmarks.R' 'lmds.R'
        'package.R'
NeedsCompilation: no
Packaged: 2019-09-19 12:12:04 UTC; rcannood
Author: Robrecht Cannoodt [aut, cre] (<https://orcid.org/0000-0003-3641-729X>,
    rcannood),
  Wouter Saelens [aut] (<https://orcid.org/0000-0002-7114-6248>, zouter)
Maintainer: Robrecht Cannoodt <rcannood@gmail.com>
Repository: CRAN
Date/Publication: 2019-09-27 09:10:02 UTC
Built: R 4.6.0; ; 2026-04-29 02:02:34 UTC; unix
