https://github.com/cran/bayestestR
Revision 68a979e69aa2a1e57017730e1397470d5614d216 authored by Dominique Makowski on 02 September 2021, 23:10:30 UTC, committed by cran-robot on 02 September 2021, 23:10:30 UTC
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Tip revision: 68a979e69aa2a1e57017730e1397470d5614d216 authored by Dominique Makowski on 02 September 2021, 23:10:30 UTC
version 0.11.0
Tip revision: 68a979e
simulate_prior.Rd
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/simulate_priors.R
\name{simulate_prior}
\alias{simulate_prior}
\title{Returns Priors of a Model as Empirical Distributions}
\usage{
simulate_prior(model, n = 1000, ...)
}
\arguments{
\item{model}{A \code{stanreg}, \code{stanfit}, or \code{brmsfit} object.}

\item{n}{Size of the simulated prior distributions.}

\item{...}{Currently not used.}
}
\description{
Transforms priors information to actual distributions.
}
\examples{
\dontrun{
library(bayestestR)
if (require("rstanarm")) {
  model <- stan_glm(mpg ~ wt + am, data = mtcars, chains = 1, refresh = 0)
  simulate_prior(model)
}
}
}
\seealso{
\code{\link[=unupdate]{unupdate()}} for directly sampling from the prior
distribution (useful for complex priors and designs).
}
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