smacof: Multidimensional Scaling (original) (raw)

Implements the following approaches for multidimensional scaling (MDS) based on stress minimization using majorization (smacof): ratio/interval/ordinal/spline MDS on symmetric dissimilarity matrices, MDS with external constraints on the configuration, individual differences scaling (idioscal, indscal), MDS with spherical restrictions, and ratio/interval/ordinal/spline unfolding (circular restrictions, row-conditional). Various tools and extensions like jackknife MDS, bootstrap MDS, permutation tests, MDS biplots, gravity models, unidimensional scaling, drift vectors (asymmetric MDS), classical scaling, and Procrustes are implemented as well.

Version: 2.1-7
Depends: R (≥ 3.5.0), plotrix, colorspace, e1071
Imports: graphics, stats, polynom, Hmisc, nnls, grDevices, MASS, weights, ellipse, wordcloud, parallel, foreach, doParallel
Suggests: knitr, prefmod, MPsychoR, calibrate, ggplot2, rmarkdown
Published: 2024-10-10
DOI: 10.32614/CRAN.package.smacof
Author: Patrick Mair [aut, cre], Jan De Leeuw [aut], Patrick J. F. Groenen [aut], Ingwer Borg [ctb]
Maintainer: Patrick Mair
License: GPL-3
NeedsCompilation: yes
Citation: smacof citation info
Materials: NEWS
In views: Psychometrics
CRAN checks: smacof results

Documentation:

Downloads:

Reverse dependencies:

Reverse depends: FreeSortR, mdsOpt, smacofx
Reverse imports: AnthropMMD, asymmetry, cops, CytoMDS, ecoregime, fmdu, mappoly, MDSMap, networktools, onemap, stops
Reverse suggests: dyndimred, ecotraj, FCPS, optiSel, sarp.snowprofile.alignment, seriation

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