indiv.search

Individual-level search. Used in gimmeSEM, aggSEM, indSEM.

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

Stephanie Lane

Zachary Fisher

Cara Arizmendi

Peter Molenaar

Edgar Merkle

Michael Hallquist

Hallie Pike

Teague Henry

Kelly Duffy

Lan Luo

Adriene Beltz

Aidan Wright

Jonathan Park

indiv.search 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>ind_cutoff</dt>
<dd>Chi square cutoff, .05 level adjusted for multiple tests.</dd>
<dt>ind_z_cutoff</dt>
<dd>Z score cutoff, .05 level adjusted for multiple tests.</dd></dl>

Arguments

Individual-level search. Used in gimmeSEM, aggSEM, indSEM. — indiv.search

<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>ind_cutoff</dt>
<dd>Chi square cutoff, .05 level adjusted for multiple tests.</dd>


<dt>ind_z_cutoff</dt>
<dd>Z score cutoff, .05 level adjusted for multiple tests.</dd>

</dl>

Individual-level search. Used in gimmeSEM, aggSEM, indSEM.

indiv.search: Individual-level search. Used in gimmeSEM, aggSEM, indSEM.

Description

Usage

Value

Arguments