check_RoBMA

Checks fitted RoBMA object
for warnings and errors and prints them to the
console.

A framework for estimating ensembles of meta-analytic models
(assuming either presence or absence of the effect, heterogeneity, and
publication bias). The RoBMA framework uses Bayesian model-averaging to
combine the competing meta-analytic models into a model ensemble, weights
the posterior parameter distributions based on posterior model probabilities
and uses Bayes factors to test for the presence or absence of the
individual components (e.g., effect vs. no effect; Bartoš et al., 2022,
<doi:10.1002/jrsm.1594>; Maier, Bartoš & Wagenmakers, 2022,
<doi:10.1037/met0000405>). Users can define a wide range of non-informative
or informative prior distributions for the effect size, heterogeneity,
and publication bias components (including selection models and PET-PEESE).
The package provides convenient functions for summary, visualizations, and
fit diagnostics.

Franti<c5><a1>ek Barto<c5><a1>

RoBMA

Robust Bayesian Meta-Analyses

František Bartoš

Maximilian Maier

Eric-Jan Wagenmakers

Joris Goosen

Matthew Denwood

Martyn Plummer

check_RoBMA function

<dl><dt>fit</dt>
<dd>a fitted RoBMA object.</dd></dl>

Arguments

Check fitted RoBMA object for errors and warnings — check_RoBMA

<dl>

<dt>fit</dt>
<dd>a fitted RoBMA object.</dd>

</dl>

check_RoBMA: Check fitted RoBMA object for errors and warnings

Description

Usage

Value

Arguments