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:
Reverse dependencies: