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RoBMA  

Robust Bayesian Meta-Analyses
View on CRAN: Click here


Download and install RoBMA package within the R console
Install from CRAN:
install.packages("RoBMA")

Install from Github:
library("remotes")
install_github("cran/RoBMA")

Install by package version:
library("remotes")
install_version("RoBMA", "3.1.0")



Attach the package and use:
library("RoBMA")
Maintained by
František Bartoš
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-08-06
Latest Update: 2023-07-18
Description:
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; Barto
How to cite:
František Bartoš (2020). RoBMA: Robust Bayesian Meta-Analyses. R package version 3.1.0, https://cran.r-project.org/web/packages/RoBMA. Accessed 06 Nov. 2024.
Previous versions and publish date:
1.0.3 (2020-08-06 16:40), 1.0.4 (2020-08-07 09:50), 1.0.5 (2020-10-13 22:20), 1.1.0 (2020-10-30 06:20), 1.1.1 (2020-11-10 11:40), 1.1.2 (2020-12-10 12:10), 1.2.0 (2021-01-21 17:00), 1.2.1 (2021-02-16 08:30), 2.0.0 (2021-07-08 23:50), 2.1.0 (2021-10-13 22:40), 2.1.1 (2021-11-03 09:10), 2.1.2 (2022-01-12 09:32), 2.2.1 (2022-04-06 15:32), 2.2.2 (2022-04-20 16:02), 2.3.0 (2022-07-12 16:10), 2.3.1 (2022-07-17 01:20), 2.3.2 (2023-03-13 16:10), 3.0.0 (2023-06-01 12:10), 3.0.1 (2023-06-02 14:30)
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Complete documentation for RoBMA
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