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ClustVarLV (version 1.6.0)

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. A "noise" cluster or sparse latent variables can also be defined.

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Version

Install

install.packages('ClustVarLV')

Monthly Downloads

326

Version

1.6.0

License

GPL-2

Maintainer

Evelyne Vigneau

Last Published

October 20th, 2018

Functions in ClustVarLV (1.6.0)

authen_NMR

Authentication data set/ NMR spectra
boot_clv

Boostrapping for assessing the stability of a CLV result
plot.clv

Graphical representation of the CLV clustering stages
data_biplot

biplot for the dataset
CLV_kmeans

K-means algorithm for the clustering of variables
plot.lclv

Graphical representation of the LCLV clustering stages
print.lclv

Print the LCLV results
AUPA_psycho

Psychological eating behavior data set
CLV

Hierarchical clustering of variables with consolidation
stand_quali

Standardization of the qualitative variables
LCLV

L-CLV for L-shaped data
get_partition

Clusters of variables.
summary.clv

summary and description of the clusters of variables
get_sparseload

sparse loadings in each cluster when using the "sparselv" strategy
plot_var

Representation of the variables and their group membership
imput_clv

Imputation of a data matrix based on CLV results
print.clv

Print the CLV results
lm_CLV

linear model based on CLV : prediction of a response variable, y, based on clusters of explanatory variables, X.
get_comp

latent variables associated with each cluster
apples_sh

apples from southern hemisphere data set
get_load

Loadings of the external variables in each cluster