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
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:

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