assign_prior: Assign Prior Distributions to Parameters

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

Description

Assign Prior Distributions to Parameters

Usage

assign_prior(param, prior, dpar, level = NULL)

Arguments

param	character string. Which parameter (e.g., "(Intercept)")? This must match the column names of the model matrix.
prior	character string. The desired prior distribution, following the JAGS formulation with the precision and not variance for the scale. See Details.
dpar	character string. Which distributional parameter? The options include location (effect-size) and scale (variance component).
level	character string. The level when dpar = "scale". For example, in a three-level model, set level = "two" for the level two scale model.

Value

A list that is used internally.

Examples

library(psymetadata)

prior <- c(assign_prior(param = "(Intercept)", 
           prior = "dnorm(0, 1)", dpar = "location"),
           assign_prior(param = "(Intercept)", 
           prior = "dnorm(-2, 1)", 
           dpar = "scale", level = "two")
           )
priors <- make_prior(yi = yi, 
                     vi = vi, 
                     prior = prior,
                     es_id = es_id,
                     study_id = study_id,
                     data = gnambs2020)
                     
priors

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