gppmControl

This function is used to specify the settings of a Gaussian process panel model generated by <code>gppm</code>.

Provides an implementation of Gaussian process panel modeling (GPPM).
GPPM is described in Karch, Brandmaier & Voelkle (2020; <DOI:10.3389/fpsyg.2020.00351>) and Karch (2016; <DOI:10.18452/17641>).
Essentially, GPPM is Gaussian process based modeling of longitudinal panel data.
'gppm' also supports regular Gaussian process regression (with a focus on flexible model specification), and multi-task learning.

Julian Karch

gppm

Gaussian Process Panel Modeling

gppmControl function

<dl><dt>stanModel</dt>
<dd>boolean. Should the corresponding stan model be created? Should only be set to FALSE for testing purposes.
Not creating the stan model makes model fitting impossible but saves a lot of time.</dd></dl>

Arguments

Define settings for a Gaussian process panel model — gppmControl

<dl>

<dt>stanModel</dt>
<dd>boolean. Should the corresponding stan model be created? Should only be set to FALSE for testing purposes.
Not creating the stan model makes model fitting impossible but saves a lot of time.</dd>

</dl>

gppmControl: Define settings for a Gaussian process panel model

Description

Usage

Value

Arguments

See Also