Package: semds 0.9-7

semds: Structural Equation Multidimensional Scaling

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.

Authors:Patrick Mair [aut, cre], Jose Fernando Vera [aut]

semds_0.9-7.tar.gz
semds_0.9-7.zip(r-4.7)semds_0.9-7.zip(r-4.6)semds_0.9-7.zip(r-4.5)
semds_0.9-7.tgz(r-4.6-any)semds_0.9-7.tgz(r-4.5-any)
semds_0.9-7.tar.gz(r-4.7-any)semds_0.9-7.tar.gz(r-4.6-any)
semds_0.9-7.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
semds/json (API)

# Install 'semds' in R:
install.packages('semds', repos = c('https://pmair78.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • alpD - Avalanche Problems Across Canadian Mountain Regions
  • BrahmsNorm - Brahms Compositions
  • btlD - Avalanche Problems Across Canadian Mountain Regions
  • Miller - Perceptual Confusion Data
  • Recreation - Recreation Data
  • SBanks2008D - Spanish Bank Crisis
  • SBanks2012D - Spanish Bank Crisis
  • tlD - Avalanche Problems Across Canadian Mountain Regions
  • Wang - Consonant Confusions in Noise

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 7 scripts 709 downloads 1 exports 2 dependencies

Last updated from:a2e85a1d4d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK91
source / vignettesOK112
linux-release-x86_64OK109
macos-release-arm64OK112
macos-oldrel-arm64OK90
windows-develOK72
windows-releaseOK60
windows-oldrelOK66
wasm-releaseOK86

Exports:semds

Dependencies:minpack.lmpracma