Cluster Optimized Proximity Scaling R package cops version 1.12-1 CRAN Task View: Psychometrics (https://CRAN.R-project.org/view=Psychometrics) 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. Software 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 Thomas Rusch <thomas.rusch@wu.ac.at> Comprehensive R Archive Network (CRAN) Thomas Rusch [aut, cre] (ORCID: <https://orcid.org/0000-0002-7773-2096>), Patrick Mair [aut] (ORCID: <https://orcid.org/0000-0003-0100-6511>), Kurt Hornik [ctb] (ORCID: <https://orcid.org/0000-0003-4198-9911>) GPL-2 GPL-3 2024-09-22 application/tgz https://CRAN.R-project.org/package=cops doi:10.32614/CRAN.package.cops