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Fits a structural equation multidimensional scaling (SEMDS) model for asymmetric and three-way input dissimilarities. It assumes that the dissimilarities are measured with errors. The latent dissimilarities are estimated as factor scores within an SEM framework while the objects are represented in a low-dimensional space as in MDS.
| Version: | 0.9-6 |
| Depends: | R (≥ 3.0.0) |
| Imports: | graphics, stats, pracma, minpack.lm |
| Suggests: | MASS |
| Published: | 2018-12-03 |
| 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 |
| In views: | Psychometrics |
| CRAN checks: | semds results |
| Reference manual: | semds.pdf |
| Package source: | semds_0.9-6.tar.gz |
| Windows binaries: | r-devel: semds_0.9-6.zip, r-release: semds_0.9-6.zip, r-oldrel: semds_0.9-6.zip |
| macOS binaries: | r-release (arm64): semds_0.9-6.tgz, r-oldrel (arm64): semds_0.9-6.tgz, r-release (x86_64): semds_0.9-6.tgz, r-oldrel (x86_64): semds_0.9-6.tgz |
| Old sources: | semds archive |
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