ClustVarLV: Clustering of Variables Around Latent Variables

Functions for the clustering of variables around Latent Variables. 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: 1.6.0
Depends: R (≥ 3.0.0)
Imports: Rcpp, doParallel, foreach, parallel, iterators
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown
Published: 2018-10-20
Author: Evelyne Vigneau [aut, cre], Mingkun Chen [ctb]
Maintainer: Evelyne Vigneau <evelyne.vigneau at>
License: GPL-2
NeedsCompilation: yes
In views: Psychometrics
CRAN checks: ClustVarLV results


Reference manual: ClustVarLV.pdf
Vignettes: Getting started with ClustVarLV. version 1.6.0
Package source: ClustVarLV_1.6.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: ClustVarLV_1.6.0.tgz, r-oldrel: ClustVarLV_1.6.0.tgz
Old sources: ClustVarLV archive

Reverse dependencies:

Reverse suggests: ClustBlock


Please use the canonical form to link to this page.