semds: Structural Equation Multidimensional Scaling
Version 0.9-2

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.

Browse man pages Browse package API and functions Browse package files

AuthorPatrick Mair [aut, cre], Jose Fernando Vera [aut]
Date of publication2016-06-14 20:34:45
MaintainerPatrick Mair <mair@fas.harvard.edu>
LicenseGPL (>= 2)
Version0.9-2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("semds")

Man pages

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

Functions

BrahmsNorm Man page
FunConfigInicial3 Source code
FunDispariSEM3 Source code
Miller Man page
ULS3 Source code
plot.semds Man page Source code
print.semds Man page Source code
semds Man page Source code
semds-package Man page
summary.semds Man page Source code

Files

NAMESPACE
data
data/Miller.rda
data/BrahmsNorm.rda
R
R/FunConfigInicial3.R
R/ULS3.R
R/plot.semds.R
R/summary.semds.R
R/semds.R
R/FunDispariSEM3.R
R/print.semds.R
MD5
DESCRIPTION
man
man/semds.Rd
man/semds-package.Rd
man/Miller.Rd
man/BrahmsNorm.Rd
semds documentation built on May 19, 2017, 11:32 p.m.