us to evaluate evidence in favor of the effect
and heterogeneity. Furthermore, specifying all those additional models
allows us to incorporate the uncertainty about the specified models and
weight the posterior distribution according to how well the models
predicted the data. We estimate the remaining models by removing the
<code>priors_effect_null</code> and
<code>priors_heterogeneity_null</code> arguments from the previous
function calls, which include the previously omitted models of no effect
and/or no 