smacof: SMACOF for Multidimensional Scaling

This package provides the following approaches of multidimensional scaling (MDS) based on stress minimization by means of majorization (smacof): Simple smacof 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). Each of these approaches is implemented in a metric and nonmetric manner including primary, secondary, and tertiary approaches for tie handling. Jackknife and permutation tests are included as well.

Version: 1.2-3
Depends: R (≥ 3.0.2), polynom, rgl, scatterplot3d, Hmisc, colorspace
Imports: graphics, stats
Published: 2013-12-03
Author: Jan de Leeuw, Patrick Mair
Maintainer: Jan de Leeuw <deleeuw at stat.ucla.edu>
License: GPL-2
Copyright: see file COPYRIGHTS
NeedsCompilation: no
Citation: smacof citation info
In views: Psychometrics
CRAN checks: smacof results

Downloads:

Reference manual: smacof.pdf
Package source: smacof_1.2-3.tar.gz
MacOS X binary: smacof_1.2-3.tgz
Windows binary: smacof_1.2-3.zip
Old sources: smacof archive

Reverse dependencies:

Reverse depends: MDSGUI