sigma.lcModel

object

<p>Extracts or estimates the residual standard deviation. If <code><a rd-options="=sigma" href="/link/sigma()?package=latrend&version=1.3.0&to=%3Dsigma" data-mini-rdoc="=sigma::sigma()">sigma()</a></code> is not defined for a model, it is estimated from the residual error vector.</p>

A framework for clustering longitudinal datasets in a standardized way. 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.

Niek Den Teuling

latrend

A Framework for Clustering Longitudinal Data

Steffen Pauws

Edwin van den Heuvel

sigma.lcModel function

<p>Extracts or estimates the residual standard deviation. If <code><a rd-options='=sigma' href='sigma()'>sigma()</a></code> is not defined for a model, it is estimated from the residual error vector.</p>

sigma.lcModel: Extract residual standard deviation from a lcModel

Description

Usage

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See Also