Package: metaBMA 0.6.9

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. For a primer on Bayesian model-averaged meta-analysis, see Gronau, Heck, Berkhout, Haaf, & Wagenmakers (2021, <doi:10.1177/25152459211031256>).

Authors:Daniel W. Heck [aut, cre], Quentin F. Gronau [ctb], Eric-Jan Wagenmakers [ctb], Indrajeet Patil [ctb]

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NEWS

# Install 'metaBMA' in R:
install.packages('metaBMA', repos = c('https://danheck.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/danheck/metabma/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

bayesbayes-factorbayesian-inferenceevidence-synthesismeta-analysismodel-averagingstan

7.09 score 28 stars 1 packages 53 scripts 2.8k downloads 1 mentions 14 exports 61 dependencies

Last updated 9 months agofrom:5c8ca4d4d2. Checks:OK: 2 NOTE: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-win-x86_64NOTEOct 26 2024
R-4.5-linux-x86_64OKOct 26 2024
R-4.4-win-x86_64NOTEOct 26 2024
R-4.4-mac-x86_64NOTEOct 26 2024
R-4.4-mac-aarch64NOTEOct 26 2024
R-4.3-win-x86_64NOTEOct 26 2024
R-4.3-mac-x86_64NOTEOct 26 2024
R-4.3-mac-aarch64NOTEOct 26 2024

Exports:bmainclusionmeta_bmameta_defaultmeta_fixedmeta_orderedmeta_randommeta_sensitivityplot_defaultplot_forestplot_posteriorpredicted_bfpriortransform_es

Dependencies:abindbackportsBHbridgesamplingBrobdingnagcallrcheckmateclicodacolorspacedescdistributionalfansifarvergenericsggplot2gluegridExtragtableinlineisobandlabelingLaplacesDemonlatticelifecyclelogsplineloomagrittrMASSMatrixmatrixStatsmgcvmunsellmvtnormnlmenumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsscalesStanHeadersstringistringrtensorAtibbleutf8vctrsviridisLitewithr

metaBMA: Bayesian Model Averaging for Random- and Fixed-Effects Meta-Analysis

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Last update: 2021-02-10
Started: 2017-02-03