Package: cops
Title: Cluster Optimized Proximity Scaling
Version: 1.2-0
Date: 2021-03-20
Authors@R: c(person(given="Thomas", family="Rusch", email="thomas.rusch@wu.ac.at", role = c("aut","cre"), comment = c(ORCID = "0000-0002-7773-2096")), person(given="Jan",family="de Leeuw", role = c("aut")), person(given="Patrick",family="Mair", role = "aut"))
Maintainer: Thomas Rusch <thomas.rusch@wu.ac.at>
Description: Cluster optimized proximity scaling (COPS) refers to 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 power functions and augment 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) for ratio, power, interval and non-metric MDS (Borg & Groenen, 2005, ISBN:978-0-387-28981-6), and one for using the augmented fitting criterion to find optimal parameters (P-COPS). The package contains various functions, wrappers, methods and classes for fitting, plotting and displaying different MDS models in a COPS framework like ratio, interval and non-metric MDS for COPS-C and P-COPS with Torgerson scaling (Torgerson, 1958, ISBN:978-0471879459), scaling by majorizing a complex function (SMACOF; de Leeuw, 1977, <https://escholarship.org/uc/item/4ps3b5mj> ), Sammon mapping (Sammon, 1969, <doi:10.1109/T-C.1969.222678> ), elastic scaling (McGee, 1966, <doi:10.1111/j.2044-8317.1966.tb00367.x> ), s-stress (Takane, Young & de Leeuw, 1977, <doi:10.1007/BF02293745> ), r-stress (de Leeuw, Groenen & Mair, 2016, <https://rpubs.com/deleeuw/142619>), power-stress (Buja & Swayne, 2002 <doi:10.1007/s00357-001-0031-0>), restricted power stress, approximated power stress, power elastic scaling, power Sammon mapping (Rusch, Mair & Hornik, 2021, <doi:10.1080/10618600.2020.1869027> ). All of these models can also solely be fit as MDS with power transformations. The package further contains a function for pattern search optimization, the ``Adaptive Luus-Jakola Algorithm'' (Rusch, Mair & Hornik, 2021, <doi:10.1080/10618600.2020.1869027> ).
Depends: R (>= 3.1.2), cordillera (>= 0.7-2), smacof (>= 1.10-4)
Imports: MASS, minqa, pso, scatterplot3d, NlcOptim, Rsolnp, dfoptim,
        subplex, cmaes, crs, nloptr, rgenoud, GenSA
Enhances: stats
Suggests: testthat, R.rsp, rmarkdown
VignetteBuilder: R.rsp
License: GPL-2 | GPL-3
LazyData: true
URL: http://r-forge.r-project.org/projects/stops/
RoxygenNote: 7.1.1
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2021-03-22 17:57:24 UTC; trusch
Author: Thomas Rusch [aut, cre] (<https://orcid.org/0000-0002-7773-2096>),
  Jan de Leeuw [aut],
  Patrick Mair [aut]
Repository: CRAN
Date/Publication: 2021-03-23 13:50:02 UTC
Built: R 4.0.2; ; 2021-03-24 11:28:39 UTC; unix
