semds: Structural Equation Multidimensional Scaling

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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.

Author
Patrick Mair [aut, cre], Jose Fernando Vera [aut]
Date of publication
2016-06-14 20:34:45
Maintainer
Patrick Mair <mair@fas.harvard.edu>
License
GPL (>= 2)
Version
0.9-2

View on CRAN

Man pages

BrahmsNorm
Brahm's Compositions
Miller
Perceptual Confusion Data
semds
Structural Equation Multidimensional Scaling.
semds-package
Structural Equation Multidimensional Scaling

Files in this package

semds
semds/NAMESPACE
semds/data
semds/data/Miller.rda
semds/data/BrahmsNorm.rda
semds/R
semds/R/FunConfigInicial3.R
semds/R/ULS3.R
semds/R/plot.semds.R
semds/R/summary.semds.R
semds/R/semds.R
semds/R/FunDispariSEM3.R
semds/R/print.semds.R
semds/MD5
semds/DESCRIPTION
semds/man
semds/man/semds.Rd
semds/man/semds-package.Rd
semds/man/Miller.Rd
semds/man/BrahmsNorm.Rd