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
defined.

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.
Rcpp, doParallel, foreach, parallel, iterators

Evelyne Vigneau [aut, cre],  Mingkun Chen [ctb], Veronique Cariou [aut]
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.
Rcpp, doParallel, foreach, parallel, iterators, plyr

Estimate and return the needed parameters for visualisations designed for 'OpenBudgets' <http://openbudgets.eu/> data. Calculate cluster analysis measures in budget data of municipalities across Europe, according to the 'OpenBudgets' data model. It involves a set of techniques and algorithms used to find and divide the data into groups of similar observations. Also, can be used generally to extract visualisation parameters convert them to 'JSON' format and use them as input in a different graphical interface.
c(
person("Kleanthis", "Koupidis", , "koupidis@okfn.gr", role = c("aut", "cre")),
person("Charalampos", "Bratsas", , "charalampos.bratsas@okfn.org", role = "aut"),
person("Jaroslav", "Kuchar", , "jaroslav.kuchar@gmail.com", role = "ctb")
)
car, cluster, clValid, data.tree, dendextend, graphics,
jsonlite, mclust, methods, RCurl, reshape, reshape2, stringr,
tibble, utils
Kleanthis Koupidis [aut, cre],
Charalampos Bratsas [aut],
Jaroslav Kuchar [ctb]