ClustVarLV: Clustering of Variables Around Latent Variables (original) (raw)
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 |
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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:
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