expand.grid.unique

Provides unique combinations of two vectors.

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

expand.grid.unique function

<dl><dt>x</dt>
<dd>A character vector containing variable names.</dd>
<dt>y</dt>
<dd>A character vector containing variable names.</dd>
<dt>incl.eq</dt>
<dd>Logical. TRUE means that combinations are kept where
a variable appears twice.</dd></dl>

Arguments

Provides unique combinations of two vectors. — expand.grid.unique

<dl>

<dt>x</dt>
<dd>A character vector containing variable names.</dd>


<dt>y</dt>
<dd>A character vector containing variable names.</dd>


<dt>incl.eq</dt>
<dd>Logical. TRUE means that combinations are kept where
a variable appears twice.</dd>

</dl>

expand.grid.unique: Provides unique combinations of two vectors.

Description

Usage

Value

Arguments