Numerical summaries are created for each model including the posterior mean and upper and lower credible intervals (aka uncertainty intervals).
# S3 method for posterior summary(object, prob = 0.9, seed = sample.int(10000, 1), ...)
An object produced by
A number p (0 < p < 1) indicating the desired probability mass to include in the intervals.
A single integer for sampling from the posterior.
Not currently used
A data frame with summary statistics and a row for each model.
#> # A tibble: 3 x 4 #> model mean lower upper #> <chr> <dbl> <dbl> <dbl> #> 1 cart 0.851 0.826 0.875 #> 2 logistic_reg 0.883 0.859 0.909 #> 3 mars 0.884 0.859 0.910