get.params

Grabs final coefficients for each individual.

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

get.params function

<dl><dt>dat</dt>
<dd>A list containing information created in setup().</dd>
<dt>grp</dt>
<dd>A list containing group-level information. NULL in aggSEM and
indSEM.</dd>
<dt>ind</dt>
<dd>A list containing individual- and (potentially) subgroup-level
information.</dd>
<dt>k</dt>
<dd>The counter indicating the individual.</dd></dl>

Arguments

Grabs final coefficients for each individual. — get.params

<dl>

<dt>dat</dt>
<dd>A list containing information created in setup().</dd>


<dt>grp</dt>
<dd>A list containing group-level information. NULL in aggSEM and
indSEM.</dd>


<dt>ind</dt>
<dd>A list containing individual- and (potentially) subgroup-level
information.</dd>


<dt>k</dt>
<dd>The counter indicating the individual.</dd>

</dl>

get.params: Grabs final coefficients for each individual.

Description

Usage

Value

Arguments