metaBMA v0.6.1


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Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis

Computes the posterior model probabilities for standard meta-analysis models (null model vs. alternative model assuming either fixed- or random-effects, respectively). These posterior probabilities are used to estimate the overall mean effect size as the weighted average of the mean effect size estimates of the random- and fixed-effect model as proposed by Gronau, Van Erp, Heck, Cesario, Jonas, & Wagenmakers (2017, <doi:10.1080/23743603.2017.1326760>). The user can define a wide range of non-informative or informative priors for the mean effect size and the heterogeneity coefficient. Moreover, using pre-compiled Stan models, meta-analysis with continuous and discrete moderators with Jeffreys-Zellner-Siow (JZS) priors can be fitted and tested. This allows to compute Bayes factors and perform Bayesian model averaging across random- and fixed-effects meta-analysis with and without moderators.

Functions in metaBMA

Name Description
meta_random Bayesian Random-Effects Meta-Analysis
inclusion Inclusion Bayes Factor
bma Bayesian Model Averaging
meta_bma Model Averaging for Meta-Analysis
plot.meta_pred Plot Predicted Bayes Factors
meta_fixed Bayesian Fixed-Effects Meta-Analysis
facial_feedback Data Set: Facial Feedback
meta_default Defaults for Model Averaging in Meta-Analysis
metaBMA-package metaBMA: Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis
meta_ordered Meta-Analysis with Order-Constrained Study Effects
power_pose Data Set: Power Pose Effect
predicted_bf Predicted Bayes Factors for a New Study
plot_default Plot Default Priors
plot.prior Plot Prior Distribution
plot_forest Forest Plot for Meta-Analysis
plot_posterior Plot Posterior Distribution
towels Data Set: Reuse of Towels in Hotels
prior Prior Distribution
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Last month downloads


Type Package
Date 2019-07-10
LinkingTo BH (>= 1.69.0-1), Rcpp (>= 1.0.0), RcppEigen (>=, rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
VignetteBuilder knitr
License GPL-3
Encoding UTF-8
LazyData true
NeedsCompilation yes
SystemRequirements GNU make
RoxygenNote 6.1.1
Packaged 2019-07-09 22:14:42 UTC; Daniel
Repository CRAN
Date/Publication 2019-07-10 07:50:03 UTC

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