Generic method for fitting a model.

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

fit function

<dl><dt>gpModel</dt>
<dd>a model.</dd>
<dt>...</dt>
<dd>additional arguments.</dd></dl>

Arguments

Generic Method For Fitting a model — fit

<dl>

<dt>gpModel</dt>
<dd>a model.</dd>


<dt>...</dt>
<dd>additional arguments.</dd>

</dl>

fit: Generic Method For Fitting a model

Description

Usage

Value

Arguments

See Also