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# A tibble: 10 × 3
variable char_fun mean
<chr> <chr> <chr>
1 mu word 4.1799990610081
2 tau word 4.16356885610418
3 theta[1] word 6.74893947963962
4 theta[2] word 5.25331634990726
5 theta[3] word 3.04393475572924
6 theta[4] word 4.85842854299997
7 theta[5] word 3.22258991784476
8 theta[6] word 3.98696993634695
9 theta[7] word 6.5030995214442
10 theta[8] word 4.56520199862817
This could be fixed by using type.convert(out, as.is = TRUE) on the output tibble in summarise_draws_helper