##### https://github.com/cran/bayestestR

Tip revision:

**d2eac42f58e4e0f0d07298e8c2e719ef6a30672d**authored by**Dominique Makowski**on**19 June 2020, 08:00:07 UTC****version 0.7.0** Tip revision:

**d2eac42** convert_bayesian_as_frequentist.Rd

```
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/convert_bayesian_to_frequentist.R
\name{convert_bayesian_as_frequentist}
\alias{convert_bayesian_as_frequentist}
\alias{bayesian_as_frequentist}
\title{Convert (refit) a Bayesian model to frequentist}
\usage{
convert_bayesian_as_frequentist(model, data = NULL)
bayesian_as_frequentist(model, data = NULL)
}
\arguments{
\item{model}{A Bayesian model.}
\item{data}{Data used by the model. If \code{NULL}, will try to extract it from the model.}
}
\description{
Refit Bayesian model as frequentist. Can be useful for comparisons.
}
\examples{
\donttest{
# Rstanarm ----------------------
if (require("rstanarm")) {
# Simple regressions
model <- stan_glm(Sepal.Length ~ Petal.Length * Species,
data = iris, chains = 2, refresh = 0
)
bayesian_as_frequentist(model)
model <- stan_glm(vs ~ mpg,
family = "binomial",
data = mtcars, chains = 2, refresh = 0
)
bayesian_as_frequentist(model)
# Mixed models
model <- stan_glmer(Sepal.Length ~ Petal.Length + (1 | Species),
data = iris, chains = 2, refresh = 0
)
bayesian_as_frequentist(model)
model <- stan_glmer(vs ~ mpg + (1 | cyl),
family = "binomial",
data = mtcars, chains = 2, refresh = 0
)
bayesian_as_frequentist(model)
}
}
}
```