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: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=ClustVarLV to link to this page.
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