model.data

internal

A framework for clustering longitudinal datasets in a standardized way.
The package provides an interface to existing R packages for clustering longitudinal univariate trajectories, facilitating reproducible and transparent analyses.
Additionally, standard tools are provided to support cluster analyses, including repeated estimation, model validation, and model assessment.
The interface enables users to compare results between methods, and to implement and evaluate new methods with ease.
The 'akmedoids' package is available from <https://github.com/MAnalytics/akmedoids>.

Niek Den Teuling

latrend

A Framework for Clustering Longitudinal Data

Steffen Pauws

Edwin van den Heuvel

Koninklijke Philips N.V. 

model.data function

<dl><dt>object</dt>
<dd>The object.</dd>
<dt>...</dt>
<dd>Additional arguments.</dd></dl>

Arguments

Extract the model training data — model.data

<dl>

<dt>object</dt>
<dd>The object.</dd>


<dt>...</dt>
<dd>Additional arguments.</dd>

</dl>

Extract the model training data

model.data: Extract the model training data

Description

Usage

Arguments