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.
Arguments
- object
A
bmmtools_prior_checkfromprior_check().- ...
Not used.
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
