Support for mmrm models about broom.helpers HOT 8 CLOSED

library(mmrm)
library(broom.helpers)

mod <- 
  mmrm(
    formula = FEV1 ~ RACE + SEX + ARMCD * AVISIT + us(AVISIT | USUBJID),
    data = fev_data
  )

tidy_plus_plus(mod)
#> ! `broom::tidy()` failed to tidy the model.
#> ✔ `tidy_parameters()` used instead.
#> ℹ Add `tidy_fun = broom.helpers::tidy_parameters` to quiet these messages.
#> ✖ Unable to identify the list of variables.
#> 
#> This is usually due to an error calling `stats::model.frame(x)`or `stats::model.matrix(x)`.
#> It could be the case if that type of model does not implement these methods.
#> Rarely, this error may occur if the model object was created within
#> a functional programming framework (e.g. using `lappy()`, `purrr::map()`, etc.).
#> # A tibble: 11 × 19
#>    term              variable var_label var_class var_type var_nlevels contrasts
#>    <chr>             <chr>    <chr>         <int> <chr>          <int> <chr>    
#>  1 (Intercept)       (Interc… (Interce…        NA unknown           NA <NA>     
#>  2 RACEBlack or Afr… RACEBla… RACEBlac…        NA unknown           NA <NA>     
#>  3 RACEWhite         RACEWhi… RACEWhite        NA unknown           NA <NA>     
#>  4 SEXFemale         SEXFema… SEXFemale        NA unknown           NA <NA>     
#>  5 ARMCDTRT          ARMCDTRT ARMCDTRT         NA unknown           NA <NA>     
#>  6 AVISITVIS2        AVISITV… AVISITVI…        NA unknown           NA <NA>     
#>  7 AVISITVIS3        AVISITV… AVISITVI…        NA unknown           NA <NA>     
#>  8 AVISITVIS4        AVISITV… AVISITVI…        NA unknown           NA <NA>     
#>  9 ARMCDTRT:AVISITV… ARMCDTR… ARMCDTRT…        NA unknown           NA <NA>     
#> 10 ARMCDTRT:AVISITV… ARMCDTR… ARMCDTRT…        NA unknown           NA <NA>     
#> 11 ARMCDTRT:AVISITV… ARMCDTR… ARMCDTRT…        NA unknown           NA <NA>     
#> # ℹ 12 more variables: contrasts_type <chr>, reference_row <lgl>, label <chr>,
#> #   estimate <dbl>, std.error <dbl>, conf.level <dbl>, conf.low <dbl>,
#> #   conf.high <dbl>, statistic <dbl>, df.error <dbl>, p.value <dbl>, n <dbl>