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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.pdf
Vignettes: Getting started with ClustVarLV
Clustering Three-Way data

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 form https://CRAN.R-project.org/package=ClustVarLV to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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