lcMatrixMethod-class

getName,lcMatrixMethod-method

getShortName,lcMatrixMethod-method

prepareData,lcMatrixMethod-method

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. 

lcMatrixMethod-class function

<dl><dt>object</dt>
<dd>The data or model or extract the trajectories from.</dd>
<dt>...</dt>
<dd>Arguments passed to trajectoryAssignments for generating the Cluster column.</dd>
<dt>method</dt>
<dd>An object inheriting from <code>lcMethod</code> with all its arguments having been evaluated and finalized.</dd>
<dt>data</dt>
<dd>A <code>data.frame</code> representing the transformed training data.</dd>
<dt>verbose</dt>
<dd>A R.utils::Verbose object indicating the level of verbosity.</dd></dl>

Arguments

lcMatrixMethod — lcMatrixMethod-class

<dl>

<dt>object</dt>
<dd>The data or model or extract the trajectories from.</dd>


<dt>...</dt>
<dd>Arguments passed to trajectoryAssignments for generating the Cluster column.</dd>


<dt>method</dt>
<dd>An object inheriting from <code>lcMethod</code> with all its arguments having been evaluated and finalized.</dd>


<dt>data</dt>
<dd>A <code>data.frame</code> representing the transformed training data.</dd>


<dt>verbose</dt>
<dd>A R.utils::Verbose object indicating the level of verbosity.</dd>

</dl>

lcMatrixMethod

lcMatrixMethod-class: lcMatrixMethod

Description

Usage

Arguments