formula.lcMethod

Extracts the associated <code>formula</code> for the given distributional parameter.

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. 

formula.lcMethod function

<dl><dt>x</dt>
<dd>The <code>lcMethod</code> object.</dd>
<dt>what</dt>
<dd>The distributional parameter to which this formula applies. By default, the formula specifies <code>"mu"</code>.</dd>
<dt>envir</dt>
<dd>The <code>environment</code> in which to evaluate the arguments. If <code>NULL</code>, the environment associated with the object is used. If not available, the <code><a href="/link/parent.frame()?package=latrend&version=1.6.1" data-mini-rdoc="latrend::parent.frame()">parent.frame()</a></code> is used.</dd>
<dt>...</dt>
<dd>Additional arguments.</dd></dl>

Arguments

Extract formula — formula.lcMethod

<dl>

<dt>x</dt>
<dd>The <code>lcMethod</code> object.</dd>


<dt>what</dt>
<dd>The distributional parameter to which this formula applies. By default, the formula specifies <code>"mu"</code>.</dd>


<dt>envir</dt>
<dd>The <code>environment</code> in which to evaluate the arguments. If <code>NULL</code>, the environment associated with the object is used. If not available, the <code><a href='https://rdrr.io/r/base/sys.parent.html'>parent.frame()</a></code> is used.</dd>


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

</dl>

formula.lcMethod: Extract formula

Description

Usage

Value

Arguments

See Also

Examples