setupTransformData

internal

Data-driven approach for arriving at person-specific time series models. The method first identifies which relations replicate across the majority of individuals to detect signal from noise. These group-level relations are then used as a foundation for starting the search for person-specific (or individual-level) relations. See Gates & Molenaar (2012) <doi:10.1016/j.neuroimage.2012.06.026>.

KM Gates

gimme

Group Iterative Multiple Model Estimation

setupTransformData function

<dl><dt>ts_list</dt>
<dd>a list or directory</dd>
<dt>varLabels</dt>
<dd>Variable labels.</dd>
<dt>ctrlOpts</dt>
<dd>List used in setup function.</dd></dl>

Arguments

Transform raw data as required. — setupTransformData

<dl>

<dt>ts_list</dt>
<dd>a list or directory</dd>


<dt>varLabels</dt>
<dd>Variable labels.</dd>


<dt>ctrlOpts</dt>
<dd>List used in setup function.</dd>

</dl>

setupTransformData: Transform raw data as required.

Description

Usage

Arguments