metaBMA

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.

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Description file content

Package
metaBMA
Type
Package
Date
2019-07-10
Title
Bayesian Model Averaging for Random and Fixed Effects Meta-Analysis
Version
0.6.1
Maintainer
Daniel W. Heck
Description
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, ). 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.
Depends
R (>= 3.4.0), Rcpp (>= 1.0.0), methods
Imports
mvtnorm, logspline, coda, LaplacesDemon, rstan (>= 2.18.1), rstantools (>= 1.5.1), bridgesampling
Suggests
testthat, knitr
LinkingTo
BH (>= 1.69.0-1), Rcpp (>= 1.0.0), RcppEigen (>= 0.3.3.5.0), rstan (>= 2.18.1), StanHeaders (>= 2.18.0)
VignetteBuilder
knitr
URL
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
Author
Daniel W. Heck [aut, cre], Quentin F. Gronau [ctb]
Repository
CRAN
Date/Publication
2019-07-10 07:50:03 UTC

install.packages('metaBMA')

0.6.1

8 days ago

https://github.com/danheck/metaBMA

Daniel W. Heck

GPL-3

Depends on

R (>= 3.4.0), Rcpp (>= 1.0.0), methods

Imports

mvtnorm, logspline, coda, LaplacesDemon, rstan (>= 2.18.1), rstantools (>= 1.5.1), bridgesampling

Suggests

testthat, knitr

Discussions