Package: ClustVarLV 2.1.1

ClustVarLV: Clustering of Variables Around Latent Variables

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.

Authors:Evelyne Vigneau [aut, cre], Mingkun Chen [ctb], Veronique Cariou [aut]

ClustVarLV_2.1.1.tar.gz
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ClustVarLV_2.1.1.tgz(r-4.4-x86_64)ClustVarLV_2.1.1.tgz(r-4.4-arm64)ClustVarLV_2.1.1.tgz(r-4.3-x86_64)ClustVarLV_2.1.1.tgz(r-4.3-arm64)
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ClustVarLV.pdf |ClustVarLV.html✨
ClustVarLV/json (API)

# Install 'ClustVarLV' in R:
install.packages('ClustVarLV', repos = c('https://evigneau.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.62 score 21 scripts 446 downloads 16 exports 7 dependencies

Last updated 2 years agofrom:b4eaf966db. Checks:OK: 4 NOTE: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64NOTENov 07 2024
R-4.5-linux-x86_64NOTENov 07 2024
R-4.4-win-x86_64NOTENov 07 2024
R-4.4-mac-x86_64NOTENov 07 2024
R-4.4-mac-aarch64NOTENov 07 2024
R-4.3-win-x86_64OKNov 07 2024
R-4.3-mac-x86_64OKNov 07 2024
R-4.3-mac-aarch64OKNov 07 2024

Exports:boot_clvCLVCLV_kmeansCLV3WCLV3W_kmeansdata_biplotget_compget_loadingget_partitionget_weightimput_clvLCLVlm_CLVplot_varplot_var.clv3wstand_quali

Dependencies:codetoolsdoParallelforeachiteratorsplyrRcppRcppEigen

CLV3W: Clustering around latent variables with Three-Way data

Veronique Cariou

Rendered fromclv3w-vignette.Rmdusingknitr::rmarkdownon Nov 07 2024.

Last update: 2019-06-28
Started: 2019-06-28

Getting started with ClustVarLV

Evelyne Vigneau

Rendered fromGetting_started_with_ClustVarLV.Rmdusingknitr::rmarkdownon Nov 07 2024.

Last update: 2022-05-28
Started: 2015-06-01

Readme and manuals

Help Manual

Help pageTopics
apples from southern hemisphere data setapples_sh
Psychological eating behavior data setAUPA_psycho
Authentication data set/ NMR spectraauthen_NMR
Scaling of a three-way arrayblock.scale
Boostrapping for assessing the stability of a CLV resultboot_clv
ciders dataciders
Hierarchical clustering of variables with consolidationCLV
K-means algorithm for the clustering of variablesCLV_kmeans
Hierarchical clustering of variables (associated with mode 2 three-way array) with consolidationCLV3W
Partitioning algorithm of a set of variables (associated with mode 2) oh a three-way arrayCLV3W_kmeans
coffee datacoffee
biplot for the datasetdata_biplot
latent components associated with each clusterget_comp
Loadings of the variables on the latent component, in each cluster.get_loading
clusters memberships for a partition into K clusters.get_partition
Weights of the external variables, or additional mode, on the latent component in each cluster.get_weight
Imputation of a data matrix based on CLV resultsimput_clv
L-CLV for L-shaped dataLCLV
linear model based on CLVlm_CLV
Representation of the variables and their group membershipplot_var
Scores plot from a Candecomp Parafac analysis. The group membership of the variables is superimposed.plot_var.clv3w
Graphical representation of the CLV clustering stagesplot.clv
Graphical representation of the CLV3W hierarchical clustering stagesplot.clv3w
Graphical representation of the LCLV clustering stagesplot.lclv
prediction for lmCLV models.predict.lmclv
Print the CLV resultsprint.clv
Print the CLV3W resultsprint.clv3w
Print the LCLV resultsprint.lclv
Standardization of the qualitative variablesstand_quali
summary and description of the clusters of variablessummary.clv
Summary and description of the clusters of (mode 2) variables associated with CLV3W or CLV3W_kmeanssummary.clv3w