Title: Clustering of Variables Around Latent Variables
Description: 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.
Packaged: 2015-03-16 14:44:16 UTC; evelyne-vigneau

Packaged: 2014-07-25 09:33:54 UTC; mingkun.chen

Packaged: 2015-06-01 13:50:03 UTC; utilisateur

Packaged: 2015-09-08 10:28:19 UTC; evelyne-vigneau

Authors@R: c(person("Evelyne", "Vigneau", email = "evelyne.vigneau@oniris-nantes.fr", role = c("aut", "cre")),
person("Mingkun", "Chen", role = c("ctb")))
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 de defined.
Packaged: 2016-08-20 15:57:00 UTC; utilisateur

Description: 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 de
Packaged: 2016-12-14 15:23:16 UTC; utilisateur

Description: 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.
Imports: Rcpp, doParallel, foreach, parallel, iterators
Packaged: 2018-10-20 16:33:52 UTC; utilisateur

Author: Evelyne Vigneau [aut, cre],  Mingkun Chen [ctb], Veronique Cariou [aut]
Description: 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.
Imports: Rcpp, doParallel, foreach, parallel, iterators, plyr
Packaged: 2019-06-26 11:46:13 UTC; evelyne.vigneau