The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

cops: Cluster Optimized Proximity Scaling

Multidimensional scaling (MDS) methods that aim at pronouncing the clustered appearance of the configuration (Rusch, Mair & Hornik, 2021, <doi: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, <doi: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,<doi:10.1080/10618600.2020.1869027>) and a functions to calculate the phi-distances for count data or histograms.

Version: 1.11-3
Depends: R (≥ 3.5.0), cordillera (≥ 0.7-2), smacofx
Imports: smacof, analogue, cmaes, crs, dfoptim, GenSA, minqa, NlcOptim, nloptr, pso, rgenoud, Rsolnp, subplex
Suggests: R.rsp, rmarkdown
Published: 2024-06-27
DOI: 10.32614/CRAN.package.cops
Author: Thomas Rusch ORCID iD [aut, cre], Patrick Mair ORCID iD [aut], Kurt Hornik ORCID iD [ctb]
Maintainer: Thomas Rusch <thomas.rusch at wu.ac.at>
License: GPL-2 | GPL-3
URL: https://r-forge.r-project.org/projects/stops/
NeedsCompilation: no
Citation: cops citation info
Materials: NEWS
In views: Psychometrics
CRAN checks: cops results

Documentation:

Reference manual: cops.pdf
Vignettes: A Tutorial on Cluster Optimized Proximity Scaling (COPS)

Downloads:

Package source: cops_1.11-3.tar.gz
Windows binaries: r-devel: cops_1.11-3.zip, r-release: cops_1.11-3.zip, r-oldrel: cops_1.11-3.zip
macOS binaries: r-release (arm64): cops_1.11-3.tgz, r-oldrel (arm64): cops_1.11-3.tgz, r-release (x86_64): cops_1.11-3.tgz, r-oldrel (x86_64): cops_1.11-3.tgz
Old sources: cops archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=cops to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.