plot_dominance

Plots the (relative) contribution of the individual GAMs to each data point
on a given axis. It shows whether and how parts of the axis are dominated by
certain individual GAMs.

Meta-analysis of generalized additive
models and generalized additive mixed models. A typical use case is
when data cannot be shared across locations, and an overall meta-analytic
fit is sought. 'metagam' provides functionality for removing individual
participant data from models computed using the 'mgcv' and 'gamm4' packages such
that the model objects can be shared without exposing individual data.
Furthermore, methods for meta-analysing these fits are provided. The implemented
methods are described in Sorensen et al. (2020), <doi:10.1016/j.neuroimage.2020.117416>,
extending previous works by Schwartz and Zanobetti (2000)
and Crippa et al. (2018) <doi:10.6000/1929-6029.2018.07.02.1>.

Oystein Sorensen

metagam

Meta-Analysis of Generalized Additive Models

Andreas M. Brandmaier

Athanasia Mo Mowinckel

plot_dominance function

<dl><dt>x</dt>
<dd>Object returned by <code>metagam</code>.</dd>
<dt>term</dt>
<dd>Character specifying which smooth term to plot. Default to
<code>NULL</code> which means that the first term (in alphabetic order) is taken.</dd>
<dt>relative</dt>
<dd>Logical specifying whether to have relative or absolute
scales. Defaults to <code>TRUE</code>.</dd>
<dt>width</dt>
<dd>Width of bars. Default to <code>NULL</code>, which means it is
automatically determined based on the minimum grid spacing in <code>x</code>.</dd></dl>

Arguments

Dominance plot — plot_dominance

<dl>

<dt>x</dt>
<dd>Object returned by <code>metagam</code>.</dd>


<dt>term</dt>
<dd>Character specifying which smooth term to plot. Default to
<code>NULL</code> which means that the first term (in alphabetic order) is taken.</dd>


<dt>relative</dt>
<dd>Logical specifying whether to have relative or absolute
scales. Defaults to <code>TRUE</code>.</dd>


<dt>width</dt>
<dd>Width of bars. Default to <code>NULL</code>, which means it is
automatically determined based on the minimum grid spacing in <code>x</code>.</dd>

</dl>

plot_dominance: Dominance plot

Description

Usage

Value

Arguments

Examples