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ClustVarLV: Clustering of Variables Around Latent Variables

Functions for the clustering of variables around Latent Variables, for 2-way or 3-way data. Each cluster of variables, which may be defined as a local or directional cluster, is associated with a latent variable. External variables measured on the same observations or/and additional information on the variables can be taken into account. A "noise" cluster or sparse latent variables can also be defined.

Version:2.1.1
Depends:R (≥ 4.1.0)
Imports:Rcpp,doParallel,foreach, parallel,iterators,plyr
LinkingTo:Rcpp,RcppEigen
Suggests:knitr,rmarkdown
Published:2022-05-28
DOI:10.32614/CRAN.package.ClustVarLV
Author:Evelyne Vigneau [aut, cre], Mingkun Chen [ctb], Veronique Cariou [aut]
Maintainer:Evelyne Vigneau <evelyne.vigneau at oniris-nantes.fr>
License:GPL-3
NeedsCompilation:yes
In views:Psychometrics
CRAN checks:ClustVarLV results

Documentation:

Reference manual:ClustVarLV.html ,ClustVarLV.pdf
Vignettes:Getting started with ClustVarLV (source,R code)
Clustering Three-Way data (source,R code)

Downloads:

Package source: ClustVarLV_2.1.1.tar.gz
Windows binaries: r-devel:ClustVarLV_2.1.1.zip, r-release:ClustVarLV_2.1.1.zip, r-oldrel:ClustVarLV_2.1.1.zip
macOS binaries: r-release (arm64):ClustVarLV_2.1.1.tgz, r-oldrel (arm64):ClustVarLV_2.1.1.tgz, r-release (x86_64):ClustVarLV_2.1.1.tgz, r-oldrel (x86_64):ClustVarLV_2.1.1.tgz
Old sources: ClustVarLV archive

Reverse dependencies:

Reverse suggests:ClustBlock
Reverse enhances:klaR

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=ClustVarLVto link to this page.


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