smacof: Multidimensional Scaling in R: SMACOF

This package provides the following approaches of multidimensional scaling (MDS) based on stress minimization by means of majorization (smacof): Simple smacof (basic MDS) on symmetric dissimilarity matrices, smacof for rectangular matrices (unfolding models), smacof with constraints on the configuration, three-way smacof for individual differences (including constraints for idioscal, indscal, and identity), and spherical smacof (primal and dual algorithm). The MDS type can be ratio, interval, ordinal manner (including primary, secondary, and tertiary approaches for tie handling), and msplines. Jackknife and permutation tests are provided.

Version: 1.6-2
Depends: R (≥ 3.0.2), rgl
Imports: graphics, stats, polynom, scatterplot3d, Hmisc, colorspace, nnls
Published: 2015-01-27
Author: Patrick Mair [aut, cre], Jan De Leeuw [aut], Ingwer Borg [ctb], Patrick J. F. Groenen [aut]
Maintainer: Patrick Mair <mair at fas.harvard.edu>
License: GPL-2
Copyright: see file COPYRIGHTS
NeedsCompilation: yes
Citation: smacof citation info
Materials: NEWS
In views: Psychometrics
CRAN checks: smacof results

Downloads:

Reference manual: smacof.pdf
Package source: smacof_1.6-2.tar.gz
Windows binaries: r-devel: smacof_1.6-2.zip, r-release: smacof_1.6-2.zip, r-oldrel: smacof_1.6-2.zip
OS X Snow Leopard binaries: r-release: smacof_1.6-2.tgz, r-oldrel: smacof_1.5-0.tgz
OS X Mavericks binaries: r-release: smacof_1.6-2.tgz
Old sources: smacof archive

Reverse dependencies:

Reverse depends: FreeSortR
Reverse imports: provenance