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> ).
subplex, cmaes, crs, nloptr, rgenoud, GenSA

Title: Multivariate Dependence with Copula
Depends: methods, mvtnorm, scatterplot3d, sn
Description: Classes (S4) of commonly used copulas including
elliptical, and Archimidean copulas. Implemented copulas
include normal, t, Clayton, Frank, and Gumbel.
Methods for density, distribution, random number generators,
Packaged: Mon Jul 25 08:34:22 2005; jyan