CRAN/E | RoBMA

RoBMA

Robust Bayesian Meta-Analyses

Installation

About

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.

Citation RoBMA citation info
fbartos.github.io/RoBMA/
System requirements JAGS >= 4.3.1 (https://mcmc-jags.sourceforge.io/)
Bug report File report

Key Metrics

Version 3.0.1
R ≥ 4.0.0
Published 2023-06-02 377 days ago
Needs compilation? yes
License GPL-3
CRAN checks RoBMA results

Downloads

Yesterday 47
Last 7 days 143 -44%
Last 30 days 971 -10%
Last 90 days 3.144 +3%
Last 365 days 11.714 +45%

Maintainer

Maintainer

František Bartoš

Authors

František Bartoš

aut / cre

Maximilian Maier

aut

Eric-Jan Wagenmakers

ths

Joris Goosen

ctb

Matthew Denwood

cph

(Original copyright holder of some modified code where indicated.)

Martyn Plummer

cph

(Original copyright holder of some modified code where indicated.)

Material

README
NEWS
Reference manual
Package source

In Views

Bayesian
MetaAnalysis

Vignettes

Fitting Custom Meta-Analytic Ensembles
Hierarchical Bayesian Model-Averaged Meta-Analysis
Informed Bayesian Model-Averaged Meta-Analysis in Medicine
Reproducing Bayesian Model-Averaged Meta-Analysis
Tutorial: Adjusting for Publication Bias in JASP and R - Selection Models, PET-PEESE, and Robust Bayesian Meta-Analysis

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

RoBMA archive

Depends

R ≥ 4.0.0

Imports

BayesTools ≥ 0.2.14
runjags
rjags
stats
graphics
mvtnorm
scales
Rdpack
rlang
ggplot2

Suggests

parallel
metaBMA
metafor
weightr
fixest
metadat
testthat
vdiffr
knitr
rmarkdown
covr

LinkingTo

mvtnorm