Joseph Larmarange

Because the default (t.test) is not implemented for tbl_svysummary(). You should use "smd", cf. https://www.danieldsjoberg.com/gtsummary/reference/tests.html#tbl-svysummary-add-difference- Currently, `add_difference()` does not change the default tests when applied to a tbl_svysummary()

Probably because somewhere the levels are still declared. `pns.2$variables$C009

But a question remains open: if this is a tbl_svysummary table, should we apply, by default, a relevant test?

If I remember, as.character keeps the levels attributes, while forcats::fct_drop() remove unobserved levels.

Thanks @ddsjoberg for having added `svy.t.test`. Regarding the second point, it seems that `srvyr::fct_drop()` fails in that specific case, but this is maybe a question for the `srvyr` package. If...

Hi. After exploring a little, I have the feeling that there are two areas of discussion: - improvement of `broom.helpers` for mixed models - more global discussion about a grouped...

**Regarding taking into account groups of terms in tbl_regression()** Regarding the initial question about merging, it is part of a more global discussion on how to deal with groups of...

> Using `insight::standardize_names(, type = "broom")` will rename columns in a data frame to follow broom-conventions (and vice versa, `insight::standardize_names(, type = "easystats")` will rename into easystats-conventions). This is exactly...

Quick note: https://github.com/larmarange/broom.helpers/pull/239 fixes the bug with `tidy_parameters()` and mixed models.

Regarding the question of variable labels for random effects: a big feature of `tbl_regression()` and `tidy_plus_plus()` for classic models is the identification of the variables, the type of contrasts and...