tests/testthat/_snaps/dist_quantiles.md

In cmu-delphi/epipredict: Basic epidemiology forecasting methods

constructor returns reasonable quantiles

Code
  new_quantiles(rnorm(5), c(-2, -1, 0, 1, 2))
Condition
  Error in `new_quantiles()`:
  ! `quantile_levels` must lie in [0, 1].

Code
  new_quantiles(sort(rnorm(5)), sort(runif(2)))
Condition
  Error in `new_quantiles()`:
  ! length(values) == length(quantile_levels) is not TRUE

Code
  new_quantiles(c(2, 1, 3, 4, 5), c(0.1, 0.1, 0.2, 0.5, 0.8))
Condition
  Error in `new_quantiles()`:
  ! !vctrs::vec_duplicate_any(quantile_levels) is not TRUE

Code
  new_quantiles(c(2, 1, 3, 4, 5), c(0.1, 0.15, 0.2, 0.5, 0.8))
Condition
  Error in `new_quantiles()`:
  ! `values[order(quantile_levels)]` produces unsorted quantiles.

Code
  new_quantiles(c(1, 2, 3), c(0.1, 0.2, 3))
Condition
  Error in `new_quantiles()`:
  ! `quantile_levels` must lie in [0, 1].

arithmetic works on quantiles

Code
  sum(dstn)
Condition
  Error in `mapply()`:
  ! You can't perform arithmetic between two distributions like this.

Code
  suppressWarnings(dstn + distributional::dist_normal())
Condition
  Error:
  ! non-numeric argument to binary operator

cmu-delphi/epipredict documentation built on March 5, 2025, 12:17 p.m.