smacof: Multidimensional Scaling

Provides the following approaches for multidimensional scaling (MDS) based on stress minimization using majorization (smacof): basic MDS on symmetric dissimilarity matrices, MDS with external constraints on the configuration, individual differences scaling (idioscal, indscal, and friends), MDS with spherical restrictions, and unfolding. The MDS type can be ratio, interval, ordinal, and monotone splines. Various tools and extensions like jackknife MDS, bootstrap MDS, permutation tests, MDS biplots, gravity models, inverse MDS, unidimensional scaling, drift vectors (asymmetric MDS), classical scaling, and Procrustes are implemented as well.

Version: 1.9-6
Depends: R (≥ 3.2.0), plotrix
Imports: graphics, stats, polynom, Hmisc, colorspace, nnls, grDevices, MASS, weights, ellipse, wordcloud, candisc
Suggests: knitr, RgoogleMaps
Published: 2017-05-11
Author: Patrick Mair [aut, cre], Jan De Leeuw [aut], Ingwer Borg [ctb], Patrick J. F. Groenen [ctb]
Maintainer: Patrick Mair <mair at>
License: GPL-3
NeedsCompilation: yes
Citation: smacof citation info
Materials: NEWS
In views: Psychometrics
CRAN checks: smacof results


Reference manual: smacof.pdf
Vignettes: SMACOF in R
Package source: smacof_1.9-6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: smacof_1.9-6.tgz
OS X Mavericks binaries: r-oldrel: smacof_1.9-6.tgz
Old sources: smacof archive

Reverse dependencies:

Reverse depends: FreeSortR, mdsOpt
Reverse imports: asymmetry, MDSMap


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