Other packages > Find by keyword >

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; 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.
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
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)
Other packages that cited RoBMA R package
View RoBMA citation profile
Other R packages that RoBMA depends, imports, suggests or enhances
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

Deriv  
Symbolic Differentiation
R-based solution for symbolic differentiation. It admits user-defined function as well as function s ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
buildr  
Organize & Run Build Scripts Comfortably
Working with reproducible reports or any other similar projects often require to run the script that ...
Download / Learn more Package Citations See dependency  
lgarch  
Simulation and Estimation of Log-GARCH Models
Simulation and estimation of univariate and multivariate log-GARCH models. The main functions of the ...
Download / Learn more Package Citations See dependency  
bulletr  
Algorithms for Matching Bullet Lands
Analyze bullet lands using nonparametric methods. We provide a reading routine for x3p files (see &l ...
Download / Learn more Package Citations See dependency  

22,086

R Packages

187,731

Dependencies

55,244

Author Associations

22,087

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns