Package: VarSelLCM 2.1.4

Mohammed Sedki

VarSelLCM: Variable Selection for Model-Based Clustering of Mixed-Type Data Set with Missing Values

Full model selection (detection of the relevant features and estimation of the number of clusters) for model-based clustering (see reference here <doi:10.1007/s11222-016-9670-1>). Data to analyze can be continuous, categorical, integer or mixed. Moreover, missing values can occur and do not necessitate any pre-processing. Shiny application permits an easy interpretation of the results.

Authors:Matthieu Marbac and Mohammed Sedki

VarSelLCM_2.1.4.tar.gz
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VarSelLCM_2.1.4.tgz(r-4.4-x86_64)VarSelLCM_2.1.4.tgz(r-4.4-arm64)VarSelLCM_2.1.4.tgz(r-4.3-x86_64)VarSelLCM_2.1.4.tgz(r-4.3-arm64)
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VarSelLCM.pdf |VarSelLCM.html✨
VarSelLCM/json (API)
NEWS

# Install 'VarSelLCM' in R:

install.packages('VarSelLCM', repos = c('https://r-forge.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://r-forge.r-project.org/projects/varsellcm

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

Datasets:

heart - Statlog (Heart) Data Set

On CRAN:

4.92 score 2 packages 46 scripts 339 downloads 3 mentions 16 exports 52 dependencies

Last updated 6 years agofrom:51301a3430. Checks:OK: 9. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Nov 05 2024
R-4.5-win-x86_64	OK	Nov 05 2024
R-4.5-linux-x86_64	OK	Nov 05 2024
R-4.4-win-x86_64	OK	Nov 05 2024
R-4.4-mac-x86_64	OK	Nov 05 2024
R-4.4-mac-aarch64	OK	Nov 05 2024
R-4.3-win-x86_64	OK	Nov 05 2024
R-4.3-mac-x86_64	OK	Nov 05 2024
R-4.3-mac-aarch64	OK	Nov 05 2024

Exports:AIC ARI BIC coef coefficients fitted fitted.values ICL MICL plot predict print summary VarSelCluster VarSelImputation VarSelShiny

Dependencies:base64enc bslib cachem cli colorspace commonmark crayon digest fansi farver fastmap fontawesome fs ggplot2 glue gtable htmltools httpuv isoband jquerylib jsonlite labeling later lattice lifecycle magrittr MASS Matrix memoise mgcv mime munsell nlme pillar pkgconfig promises R6 rappdirs RColorBrewer Rcpp RcppArmadillo rlang sass scales shiny sourcetools tibble utf8 vctrs viridisLite withr xtable

Vignette VarSelLCM

Rendered fromVarSelLCM.Rmdusingknitr::rmarkdownon Nov 05 2024.

Last update: 2018-08-30
Started: 2015-06-23

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Variable Selection for Model-Based Clustering of Mixed-Type Data Set with Missing Values	VarSelLCM-package VarSelLCM
AIC criterion.	AIC AIC,VSLCMresults-method
Adjusted Rand Index	ARI
BIC criterion.	BIC BIC,VSLCMresults-method
Extract the parameters	coef coef,VSLCMresults-method
Extract the parameters	coefficients coefficients,VSLCMresults-method
Extract the partition or the probabilities of classification	fitted fitted,VSLCMresults-method
Extract the partition or the probabilities of classification	fitted.values fitted.values,VSLCMresults-method
Statlog (Heart) Data Set	heart
ICL criterion	ICL
MICL criterion	MICL
Plots of an instance of 'VSLCMresults'	plot plot,VSLCMresults,ANY-method plot,VSLCMresults,character-method plot,VSLCMresults-method
Prediction of the cluster memberships	predict predict,VSLCMresults-method
Print function.	print print,VSLCMresults-method
Summary function.	summary summary,VSLCMresults-method
Variable selection and clustering.	VarSelCluster
Imputation of missing values	VarSelImputation
Shiny app for analyzing results from VarSelCluster	VarSelShiny
Constructor of 'VSLCMcriteria' class	VSLCMcriteria-class
Constructor of 'VSLCMdata' class	VSLCMdata-class
Constructor of 'VSLCMmodel' class	VSLCMmodel-class
Constructor of 'VSLCMparam' class	VSLCMparam-class
Constructor of 'VSLCMparamCategorical' class	VSLCMparamCategorical-class
Constructor of 'VSLCMparamContinuous' class	VSLCMparamContinuous-class
Constructor of 'VSLCMparamInteger' class	VSLCMparamInteger-class
Constructor of 'VSLCMpartitions' class	VSLCMpartitions-class
Constructor of 'VSLCMresults' class	VSLCMresults-class
Constructor of 'VSLCMstrategy' class	VSLCMstrategy-class