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.

Version: 0.9-0
Depends: R (≥ 2.7.0), polynom, rgl, scatterplot3d
Imports: graphics, stats
Date: 2008-05-24
Author: Jan de Leeuw, Patrick Mair
Maintainer: Jan de Leeuw <deleeuw at stat.ucla.edu>
License: GPL
In views: Psychometrics
CRAN checks: smacof results

Downloads:

Package source: smacof_0.9-0.tar.gz
MacOS X binary: smacof_0.9-0.tgz
Windows binary: smacof_0.9-0.zip
Reference manual: smacof.pdf