Package: semds 0.9-6

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]

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semds.pdf |semds.html✨
semds/json (API)

# Install 'semds' in R:
install.packages('semds', repos = c('https://pmair78.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • BrahmsNorm - Brahms Compositions
  • Miller - Perceptual Confusion Data
  • Recreation - Recreation Data
  • SBanks2008D - Spanish Bank Crisis
  • SBanks2012D - Spanish Bank Crisis
  • Wang - Consonant Confusions in Noise
  • alpD - Avalanche Problems Across Canadian Mountain Regions
  • btlD - Avalanche Problems Across Canadian Mountain Regions
  • tlD - Avalanche Problems Across Canadian Mountain Regions

On CRAN:

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

1 exports 0.00 score 2 dependencies 7 scripts 217 downloads

Last updated 6 years agofrom:c192f99179. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 24 2024
R-4.5-winOKAug 24 2024
R-4.5-linuxOKAug 24 2024
R-4.4-winOKAug 24 2024
R-4.4-macOKAug 24 2024
R-4.3-winOKAug 24 2024
R-4.3-macOKAug 24 2024

Exports:semds

Dependencies:minpack.lmpracma