predict

predict,VSLCMresults-method

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

object

data.frame of the observations to classify.

newdata

the type of prediction: probability of classification (probability) or the partition (partition)

type

This function gives the probabilities of classification for new observations by using the mixture model fit with the function <code>VarSelCluster</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

predict function

<dl><dt>object</dt>
<dd>instance of <code>VSLCMresults</code>.</dd>
<dt>newdata</dt>
<dd>data.frame of the observations to classify.</dd>
<dt>type</dt>
<dd>the type of prediction: probability of classification (probability) or the partition (partition)</dd></dl>

Arguments

Prediction of the cluster memberships — predict

<dl>

<dt>object</dt>
<dd>instance of <code>VSLCMresults</code>.</dd>


<dt>newdata</dt>
<dd>data.frame of the observations to classify.</dd>


<dt>type</dt>
<dd>the type of prediction: probability of classification (probability) or the partition (partition)</dd>

</dl>

predict: Prediction of the cluster memberships

Description

Usage

Value

Arguments