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). 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: 1.5-0
Depends: R (≥ 3.0.2), rgl
Imports: graphics, stats, polynom, scatterplot3d, Hmisc, colorspace, nnls
Published: 2014-06-23
Author: Patrick Mair [aut, cre], Jan De Leeuw [aut], Ingwer Borg [ctb], Patrick J. F. Groenen [ctb]
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_1.5-0.tar.gz
Windows binaries: r-devel: smacof_1.5-0.zip, r-release: smacof_1.5-0.zip, r-oldrel: smacof_1.5-0.zip
OS X Snow Leopard binaries: r-release: smacof_1.5-0.tgz, r-oldrel: smacof_1.5-0.tgz
OS X Mavericks binaries: r-release: smacof_1.5-0.tgz
Old sources: smacof archive

Reverse dependencies:

Reverse depends: FreeSortR, MDSGUI