mcmc_rma: MCMC Sampling for 'rma' Objects

In donaldRwilliams/blsmeta: Bayesian Location-Scale Meta-Analysis

Description

The package metafor is perhaps the gold-standard for meta-analysis in R. This function allows for sampling from the posterior distribution of a model originally estimated with metafor.

Usage

mcmc_rma(object, data, ...)

Arguments

object	an object of class rma.
data	data frame containing the variables in the model.
...	Currently ignored

Value

An object of class blsmeta (see blsmeta)

Note

This function works for any kind of model fitted with rma.

Examples

library(metafor)
library(psymetadata)

fit <- mcmc_rma(rma(yi = yi, vi = vi, 
                method = "FE",
                data = gnambs2020), 
                data = gnambs2020)

fit

donaldRwilliams/blsmeta documentation built on Dec. 20, 2021, 12:12 a.m.