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Robust Bayesian Meta-Analyses

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prior_informed: Informed Prior

prior_informed: Informed Prior
In RoBMA: Robust Bayesian Meta-Analyses

prior_informedR Documentation

Informed Prior

Description

Create empirical informed prior distributions.

Usage

prior_informed(name, parameter = NULL, type = "smd")

Arguments

name

character. Informed prior name. Supported examples include "van Erp", "Oosterwijk", "Cochrane", and medicine subfields from BayesTools::prior_informed_medicine_names.

parameter

character. Parameter subset. Required for medicine priors and not needed for psychology priors.

type

character. Effect-size type. Medicine priors use values such as "smd", "logOR", "logRR", "RD", and "logHR".

Details

Further details can be found in \insertCiteerp2017estimates;textualRoBMA, \insertCitegronau2017bayesian;textualRoBMA, \insertCitebartos2021bayesian;textualRoBMA, and \insertCitebartos2023empirical;textualRoBMA.

Value

An object of class prior.

References

\insertAllCited

RoBMA documentation built on May 7, 2026, 5:08 p.m.

Related to prior_informed in RoBMA...

RoBMA index
Package overview README.md Bayesian Meta-Analysis" Bayesian Model Averaging" Feature Coverage Generalized Linear Mixed-Effects Meta-Analysis" Informed Bayesian Model-Averaged Meta-Analysis in Medicine" Informed Bayesian Model-Averaged Meta-Analysis with Binary Outcomes Introduction to RoBMA" Location-Scale Meta-Analysis" Multilevel Meta-Analysis" Multilevel Robust Bayesian Meta-Analysis" Multilevel Robust Bayesian Model-Averaged Meta-Regression" Prior Distributions" Publication-Bias Adjustment" Robust Bayesian Meta-Analysis Robust Bayesian Model-Averaged Meta-Regression" Tutorial: Adjusting for Publication Bias in JASP and R - Selection Models, PET-PEESE, and Robust Bayesian Meta-Analysis" Zplot Publication-Bias Diagnostics"

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