smacofx

Flexible multidimensional scaling (MDS) methods and extensions to the package 'smacof'. This package contains various functions, wrappers, methods and classes for fitting, plotting and displaying a large number of different flexible MDS models (some as of yet unpublished). These are: Torgerson scaling (Torgerson, 1958, ISBN:978-0471879459) with powers, Sammon mapping (Sammon, 1969, ) with ratio and interval optimal scaling, Multiscale MDS (Ramsay, 1977, ) with ratio and interval optimal scaling, S-stress MDS (ALSCAL; Takane, Young & De Leeuw, 1977, ) with ratio and interval optimal scaling, elastic scaling (McGee, 1966, ) with ratio and interval optimal scaling, r-stress MDS (De Leeuw, Groenen & Mair, 2016, ) with ratio, interval and non-metric optimal scaling, power-stress MDS (POST-MDS; Buja & Swayne, 2002 ) with ratio and interval optimal scaling, restricted power-stress (Rusch, Mair & Hornik, 2021, ) with ratio and interval optimal scaling, approximate power-stress with ratio optimal scaling (Rusch, Mair & Hornik, 2021, ), Box-Cox MDS (Chen & Buja, 2013, ), local MDS (Chen & Buja, 2009, ), curvilinear component analysis (Demartines & Herault, 1997, ) and curvilinear distance analysis (Lee, Lendasse & Verleysen, 2004, ). There also are experimental models (e.g., sparsified MDS and sparsified POST-MDS). Some functions are suitably flexible to allow any other sensible combination of explicit power transformations for weights, distances and input proximities with implicit ratio, interval or non-metric optimal scaling of the input proximities. Most functions use a Majorization-Minimization algorithm. Currently the methods are only available for one-mode data (symmetric dissimilarity matrices).

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