coef.blsmeta: Extract Group-Specific Coefficients

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

Description

Extract the group-specific coefficients, defined as the sum of the fixed effects and corresponding random effects.

Usage

## S3 method for class 'blsmeta'
coef(object, summary = TRUE, cred = 0.95, digits = 3, ...)

Arguments

object	An object of class blsmeta.
summary	logical. Should the posterior samples be summarized (defaults to TRUE)?
cred	numeric. credible interval (defaults to 0.95).
digits	numeric. The desired number of digits for the summarized estimates (defaults to 3).
...	Currently ignored.

Value

A list of class blsmeta. When summary = TRUE, each object is a data frame including the summarized posterior samples. When summary = FALSE, each object is a matrix with the posterior samples.

Examples

library(psymetadata)

dat <- gnambs2020

fit <- blsmeta(yi = yi,
               vi = vi,
               es_id = es_id,
               data = dat)

coef(fit)

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