summary

summary,VSLCMresults-method

instance of <code><a href="/link/?package=VarSelLCM&version=2.1.3.1" vslcmresults'="" data-mini-rdoc="VarSelLCM::"></a>'>VSLCMresults</code>.

object

This function gives the summary of an instance of <code><a href="/link/?package=VarSelLCM&version=2.1.3.1" vslcmresults'="" data-mini-rdoc="VarSelLCM::"></a>'>VSLCMresults</code>.

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.

Mohammed Sedki

VarSelLCM

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

summary function

instance of <code><a href='<a href='VSLCMresults'></a>'>VSLCMresults</a></code>.

This function gives the summary of an instance of <code><a href='<a href='VSLCMresults'></a>'>VSLCMresults</a></code>.

summary: Summary function.

Description

Usage

Arguments