Detect outliers using Bonferroni p values.
ols_test_outlier(model, cut_off = 0.05, n_max = 10, ...)
model | An object of class |
---|---|
cut_off | Bonferroni p-values cut off for reporting observations. |
n_max | Maximum number of observations to report, default is 10. |
... | Other arguments. |
#> # A tibble: 1 x 3 #> studentized_residual unadjusted_p_val bonferroni_p_val #> <dbl> <dbl> <dbl> #> 1 5.71 0.000000887 0.0000479