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cff-version: 1.2.0
message: 'To cite package "smacofx" in publications use:'
type: software
license:
- GPL-2.0-only
- GPL-3.0-only
title: 'smacofx: Flexible Multidimensional Scaling and ''smacof'' Extensions'
version: 1.6-1
doi: 10.32614/CRAN.package.smacofx
abstract: 'Flexible multidimensional scaling (MDS) methods and extensions to the package
  ''smacof''. This package contains various functions, wrappers, methods and classes
  for fitting, plotting and displaying a large number of different flexible MDS models
  (some as of yet unpublished). These are: Torgerson scaling (Torgerson, 1958, ISBN:978-0471879459)
  with powers, Sammon mapping (Sammon, 1969, <https://doi.org/10.1109/T-C.1969.222678>)
  with ratio and interval optimal scaling, Multiscale MDS (Ramsay, 1977, <https://doi.org/10.1007/BF02294052>)
  with ratio and interval optimal scaling, S-stress MDS (ALSCAL; Takane, Young & De
  Leeuw, 1977, <https://doi.org/10.1007/BF02293745>) with ratio and interval optimal
  scaling, elastic scaling (McGee, 1966, <https://doi.org/10.1111/j.2044-8317.1966.tb00367.x>)
  with ratio and interval optimal scaling, r-stress MDS (De Leeuw, Groenen & Mair,
  2016, <https://rpubs.com/deleeuw/142619>) with ratio, interval and non-metric optimal
  scaling, power-stress MDS (POST-MDS; Buja & Swayne, 2002 <https://doi.org/10.1007/s00357-001-0031-0>)
  with ratio and interval optimal scaling, restricted power-stress (Rusch, Mair &
  Hornik, 2021, <https://doi.org/10.1080/10618600.2020.1869027>) with ratio and interval
  optimal scaling, approximate power-stress with ratio optimal scaling (Rusch, Mair
  & Hornik, 2021, <https://doi.org/10.1080/10618600.2020.1869027>), Box-Cox MDS (Chen
  & Buja, 2013, <https://jmlr.org/papers/v14/chen13a.html>), local MDS (Chen & Buja,
  2009, <https://doi.org/10.1198/jasa.2009.0111>), curvilinear component analysis
  (Demartines & Herault, 1997, <https://doi.org/10.1109/72.554199>) and curvilinear
  distance analysis (Lee, Lendasse & Verleysen, 2004, <https://doi.org/10.1016/j.neucom.2004.01.007>).
  There also are experimental models (e.g., sparsified MDS and sparsified POST-MDS).
  Some functions are suitably flexible to allow any other sensible combination of
  explicit power transformations for weights, distances and input proximities with
  implicit ratio, interval or non-metric optimal scaling of the input proximities.
  Most functions use a Majorization-Minimization algorithm. Currently the methods
  are only available for one-mode data (symmetric dissimilarity matrices).'
authors:
- family-names: Rusch
  given-names: Thomas
  email: thomas.rusch@wu.ac.at
  orcid: https://orcid.org/0000-0002-7773-2096
- family-names: Leeuw
  given-names: Jan
  name-particle: de
- family-names: Chen
  given-names: Lisha
- family-names: Mair
  given-names: Patrick
  email: mair@fas.harvard.edu
  orcid: https://orcid.org/0000-0003-0100-6511
repository: https://r-forge.r-universe.dev
repository-code: https://r-forge.r-project.org/tracker/?atid=5375&group_id=2037&func=browse
commit: 559ecc7d83d011258bd112846ac5aa98b7145d65
url: https://r-forge.r-project.org/projects/stops/
contact:
- family-names: Rusch
  given-names: Thomas
  email: thomas.rusch@wu.ac.at
  orcid: https://orcid.org/0000-0002-7773-2096