```
# NOT RUN {
if (.Platform$OS.type != "windows" || .Platform$r_arch != "i386") {
if (!exists("example_model")) example(example_model)
prior_summary(example_model)
priors <- prior_summary(example_model)
names(priors)
priors$prior$scale
priors$prior$adjusted_scale
# for a glm with adjusted scales (see Details, above), compare
# the default (rstanarm adjusting the scales) to setting
# autoscale=FALSE for prior on coefficients
fit <- stan_glm(mpg ~ wt + am, data = mtcars,
prior = normal(0, c(2.5, 4)),
prior_intercept = normal(0, 5),
iter = 10, chains = 1) # only for demonstration
prior_summary(fit)
fit2 <- update(fit, prior = normal(0, c(2.5, 4), autoscale=FALSE),
prior_intercept = normal(0, 5, autoscale=FALSE))
prior_summary(fit2)
}
# }
```

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