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: 2.0.1
Depends: R (≥ 3.0.0)
Imports: Rcpp, doParallel, foreach, parallel, iterators, plyr
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown
Published: 2020-01-08
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

Downloads:

Reference manual: ClustVarLV.pdf
Vignettes: Getting started with ClustVarLV
Clustering Three-Way data
Package source: ClustVarLV_2.0.1.tar.gz
Windows binaries: r-prerelease: ClustVarLV_2.0.1.zip, r-release: ClustVarLV_2.0.1.zip, r-oldrel: ClustVarLV_2.0.1.zip
macOS binaries: r-prerelease: ClustVarLV_2.0.1.tgz, r-release: ClustVarLV_2.0.1.tgz, r-oldrel: ClustVarLV_2.0.1.tgz
Old sources: ClustVarLV archive

Reverse dependencies:

Reverse suggests: ClustBlock

Linking:

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