Joseph Larmarange

Dear @ddsjoberg Do you think it has implications for broom.helpers ?

Dear @ddsjoberg look at mod2 in the example below ``` r library(tidymodels) data(penguins) my_split % na.omit() %>% initial_split() rec % step_dummy(species) glmnet_spec % set_engine("glmnet") glmnet_fit % last_fit(my_split) mod % workflows::extract_fit_parsnip()...

However, this tidier works only on a `model_fit` object and not on the underlying `glmnet`

An option would be to support natively `model_fit` objects in `broom.helpers` and to remove `tbl_regression.model_fit()` from `gtsummary`?

Very first try of native support of `model_fit` in `broom.helpers` (see https://github.com/larmarange/broom.helpers/pull/161 ) With this, you can apply `tbl_regression.default()` directly on a `model_fit` object. It will use dedicated `tidy` methods...

Agree. Let's develop and play with `tbl_custom_summary` before developing a survey version

oh thanks. True that it still something to develop. Not so much time right now but good to keep it open

Maybe an option like stats_unknown could be added to customize the way unknown are displayed? Joseph Larmarange Le sam. 21 mai 2022 à 04:05, Tracy Lam-Hine ***@***.***> a écrit :...

If `missing_stat` could be changed through a theme, should we propose a `missing_stat` argument in `tbl_summary()` and `tbl_svysummary()`? The option will be more visible in the doc. In addition, changing...

Thanks @ddsjoberg