Fits a multidimensional scaling (MDS) model for three-way data. It integrates concepts from structural equation models (SEM) by assuming an underlying, latent dissimilarity matrix. The methods uses an alternating estimation procedure in which the unknown symmetric dissimilarity matrix is estimated in a SEM framework while the objects are represented in a low-dimensional space. As a special case it can also handle asymmetric input dissimilarities.
| Version: | 0.9-2 |
| Depends: | R (≥ 3.0.0) |
| Imports: | graphics, stats, pracma, minpack.lm |
| Suggests: | MASS |
| Published: | 2016-06-14 |
| Author: | Patrick Mair [aut, cre], Jose Fernando Vera [aut] |
| Maintainer: | Patrick Mair <mair at fas.harvard.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | semds results |
| Reference manual: | semds.pdf |
| Package source: | semds_0.9-2.tar.gz |
| Windows binaries: | r-devel: semds_0.9-2.zip, r-release: semds_0.9-2.zip, r-oldrel: semds_0.9-2.zip |
| OS X El Capitan binaries: | r-release: semds_0.9-2.tgz |
| OS X Mavericks binaries: | r-oldrel: semds_0.9-2.tgz |
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