plot_heterogeneity_p

data made by <code><a rd-options="" href="/link/make_heterogeneity_data?package=metagam&version=0.2.0" data-mini-rdoc="metagam::make_heterogeneity_data">make_heterogeneity_data</a></code>.

data

Character specifying which variable to plot. Defaults to <code>NULL</code>; if <code>x</code> was
fitted with a single term, the explanatory variable corresponding to this term
is selected.

axis

Significance level. Defaults to <code>.05</code>.

alpha_thresh

Internal function to plot
the heterogeneity p values

internal

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), <arXiv:2002.02627>,
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_heterogeneity_p function

data made by <code><a rd-options='' href='make_heterogeneity_data'>make_heterogeneity_data</a></code>.

plot_heterogeneity_p: Heterogeneity p-plot

Description

Usage

Arguments

Value