Function takes a regression model object and converts it to a ARD
structure using the broom.helpers
package.
Usage
ard_regression(x, ...)
# Default S3 method
ard_regression(x, tidy_fun = broom.helpers::tidy_with_broom_or_parameters, ...)
Arguments
- x
regression model object
- ...
Arguments passed to
broom.helpers::tidy_plus_plus()
- tidy_fun
(
function
)
a tidier. Default isbroom.helpers::tidy_with_broom_or_parameters
Examples
lm(AGE ~ ARM, data = cards::ADSL) |>
ard_regression(add_estimate_to_reference_rows = TRUE)
#> {cards} data frame: 43 x 9
#> variable variable_level context stat_name stat_label stat
#> 1 ARM Placebo regressi… term term ARMPlace…
#> 2 ARM Placebo regressi… var_label Label Descript…
#> 3 ARM Placebo regressi… var_class Class character
#> 4 ARM Placebo regressi… var_type Type categori…
#> 5 ARM Placebo regressi… var_nlevels N Levels 3
#> 6 ARM Placebo regressi… contrasts contrasts contr.tr…
#> 7 ARM Placebo regressi… contrasts_type Contrast… treatment
#> 8 ARM Placebo regressi… reference_row referenc… TRUE
#> 9 ARM Placebo regressi… label Level La… Placebo
#> 10 ARM Placebo regressi… n_obs N Obs. 86
#> ℹ 33 more rows
#> ℹ Use `print(n = ...)` to see more rows
#> ℹ 3 more variables: fmt_fn, warning, error