Nothing
Code
skip_if(new_rng_snapshots)
set.seed(123)
int_2 <- reg_intervals(mpg ~ disp + wt, data = mtcars, filter = term == "wt",
model_fn = "glm", keep_reps = TRUE)
int_2
Output
# A tibble: 1 x 7
term .lower .estimate .upper .alpha .method .replicates
<chr> <dbl> <dbl> <dbl> <dbl> <chr> <list<tibble[,2]>>
1 wt -5.62 -3.46 -0.955 0.05 student-t [1,001 x 2]
Code
reg_intervals(mpg ~ disp + wt, data = mtcars, model_fn = "potato")
Condition
Error in `reg_intervals()`:
! `model_fn` must be one of "lm", "glm", "survreg", or "coxph", not "potato".
Code
reg_intervals(mpg ~ disp + wt, data = mtcars, type = "random")
Condition
Error in `reg_intervals()`:
! `type` must be one of "student-t" or "percentile", not "random".
Code
reg_intervals(mpg ~ disp + wt, data = mtcars, alpha = "a")
Condition
Error in `reg_intervals()`:
! `alpha` must be a single numeric value.
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