Tidy results from a stanreg regression (deprecated)

Deprecated: use broom.mixed::tidy(), which this function now calls with the same arguments.

Usage

tidy_stan(x, conf.int = FALSE, conf.level = 0.95, exponentiate = FALSE, ...)

Arguments

x: A fit from rstanarm::stan_glm().
conf.int: Logical indicating whether or not to include a confidence interval in the tidied output. Defaults to FALSE.
conf.level: The confidence level to use for the confidence interval if conf.int = TRUE. Must be strictly greater than 0 and less than 1. Defaults to 0.95, which corresponds to a 95 percent confidence interval.
exponentiate: Logical indicating whether or not to exponentiate the coefficient estimates. Defaults to FALSE.
...: Further arguments to broom.mixed::tidy().

Value

A data frame with one row per coefficient.

Details

See https://book.declaredesign.org/choosing-an-answer-strategy.html#bayesian-formalizations

Examples


# \donttest{
fit <- rstanarm::stan_glm(mpg ~ wt, data = mtcars, chains = 1, iter = 1000,
                          refresh = 0, seed = 343)

# Prefer broom.mixed::tidy(fit, conf.int = TRUE)
tidy_stan(fit, conf.int = TRUE)
#> This function is deprecated. Please use the 'tidy' function from the 'broom.mixed' package.
#> # A tibble: 2 × 5
#>   term        estimate std.error conf.low conf.high
#>   <chr>          <dbl>     <dbl>    <dbl>     <dbl>
#> 1 (Intercept)    37.3      1.88     33.2      41.0 
#> 2 wt             -5.31     0.566    -6.45     -4.18
# }