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One row per response and statistic, one column per prior set. With exactly two sets a difference column is appended, the second minus the first. Read it as an equivalence table: two priors are equivalent on the observable scale where the differences are negligible. With three or more sets there is no unambiguous contrast, so none is added.

Usage

# S3 method for class 'bmmtools_prior_check'
summary(object, ...)

# S3 method for class 'bmmtools_prior_check_summary'
summary(object, ...)

Arguments

object

A bmmtools_prior_check from prior_check().

...

Not used.

Value

A bmmtools_prior_check_summary tibble.

Examples

summary(prior_check_sdt_yn)
#> # A tibble: 5 × 5
#>   response statistic    default narrow_sd difference
#>   <chr>    <chr>          <dbl>     <dbl>      <dbl>
#> 1 hits     floor_rate     0.392     0.152     -0.241
#> 2 hits     ceiling_rate   0.420     0.146     -0.274
#> 3 hits     q50           30        23         -7    
#> 4 hits     q90           50        50          0    
#> 5 hits     q95           50        50          0