Computes the odds of correct classification (OCC) for each cluster.
In other words, it computes the proportion of trajectories that can be expected to be correctly classified by the model for each cluster.

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. 

OCC function

<dl><dt>object</dt>
<dd>The model, of type <code>lcModel</code>.</dd></dl>

Arguments

Odds of correct classification (OCC) — OCC

<dl>

<dt>object</dt>
<dd>The model, of type <code>lcModel</code>.</dd>

</dl>

OCC: Odds of correct classification (OCC)

Description

Usage

Value

Arguments

Details

References

See Also