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

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

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>

Provides unique combinations of two vectors.

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

Description

Usage

Value

Arguments

Join us for RADAR: AI Edition

Description

Usage

Value

Arguments

Join us for
RADAR: AI Edition