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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "cops" in publications use:'
type: software
license:
- GPL-2.0-only
- GPL-3.0-only
title: 'cops: Cluster Optimized Proximity Scaling'
version: 1.12-1
identifiers:
- type: doi
  value: 10.32614/CRAN.package.cops
abstract: 'Multidimensional scaling (MDS) methods that aim at pronouncing the clustered
  appearance of the configuration (Rusch, Mair & Hornik, 2021, <https://doi.org/10.1080/10618600.2020.1869027>).
  They achieve this by transforming proximities/distances with explicit power functions
  and penalizing the fitting criterion with a clusteredness index, the OPTICS Cordillera
  (Rusch, Hornik & Mair, 2018, <https://doi.org/10.1080/10618600.2017.1349664>). There
  are two variants: One for finding the configuration directly (COPS-C) with given
  explicit power transformations and implicit ratio, interval and non-metric optimal
  scaling transformations (Borg & Groenen, 2005, ISBN:978-0-387-28981-6), and one
  for using the augmented fitting criterion to find optimal hyperparameters for the
  explicit transformations (P-COPS). The package contains various functions, wrappers,
  methods and classes for fitting, plotting and displaying a large number of different
  MDS models (most of the functionality in smacofx) in the COPS framework. The package
  further contains a function for pattern search optimization, the ``Adaptive Luus-Jaakola
  Algorithm'''' (Rusch, Mair & Hornik, 2021,<https://doi.org/10.1080/10618600.2020.1869027>)
  and a functions to calculate the phi-distances for count data or histograms.'
authors:
- family-names: Rusch
  given-names: Thomas
  email: thomas.rusch@wu.ac.at
  orcid: https://orcid.org/0000-0002-7773-2096
- family-names: Mair
  given-names: Patrick
  email: mair@fas.harvard.edu
  orcid: https://orcid.org/0000-0003-0100-6511
preferred-citation:
  type: manual
  title: 'cops: Cluster Optimized Proximity Scaling'
  authors:
  - family-names: Rusch
    given-names: Thomas
    email: thomas.rusch@wu.ac.at
    orcid: https://orcid.org/0000-0002-7773-2096
  - family-names: Mair
    given-names: Patrick
    email: mair@fas.harvard.edu
    orcid: https://orcid.org/0000-0003-0100-6511
  notes: R package version 1.12-1
  url: https://r-forge.r-project.org/projects/stops/
repository: https://r-forge.r-universe.dev
repository-code: https://r-forge.r-project.org/projects/stops/
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
references:
- type: article
  title: Cluster Optimized Proximity Scaling
  authors:
  - family-names: Rusch
    given-names: Thomas
    email: thomas.rusch@wu.ac.at
    orcid: https://orcid.org/0000-0002-7773-2096
  - family-names: Mair
    given-names: Patrick
    email: mair@fas.harvard.edu
    orcid: https://orcid.org/0000-0003-0100-6511
  - family-names: Hornik
    given-names: Kurt
    email: Kurt.Hornik@R-project.org
    orcid: https://orcid.org/0000-0003-4198-9911
  journal: Journal of Computational and Graphical Statistics
  year: '2021'
  issue: '30'
  doi: 10.1080/10618600.2020.1869027
  start: 1156-1167
- type: report
  title: Minimizing rstress using majorization
  authors:
  - family-names: Leeuw
    given-names: Jan
    name-particle: de
  - family-names: Groenen
    given-names: Patrick
  - family-names: Mair
    given-names: Patrick
    email: mair@fas.harvard.edu
    orcid: https://orcid.org/0000-0003-0100-6511
  institution:
    name: UCLA
    address: Los Angeles
  collection-title: UCLA Statistics Preprint Series
  collection-type: techreport
  year: '2016'
  url: https://rpubs.com/deleeuw/142619