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 oniris-nantes.fr> |
| 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: ClustVarLV_1.6.0.zip, r-release: ClustVarLV_1.6.0.zip, r-oldrel: ClustVarLV_1.6.0.zip |
| OS X binaries: | r-release: ClustVarLV_1.6.0.tgz, r-oldrel: ClustVarLV_1.6.0.tgz |
| Old sources: | ClustVarLV archive |
| Reverse suggests: | ClustBlock |
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