##### https://github.com/cran/bayestestR

Tip revision:

**3da49db3cf0eea4d2c5eba241ddb5470cd7dd929**authored by**Dominique Makowski**on**26 January 2021, 16:40:03 UTC****version 0.8.2** Tip revision:

**3da49db** test-mhdior.R

```
context("mhdior")
test_that("mhdior", {
testthat::expect_equal(as.numeric(mhdior(x = distribution_normal(1000, mean = 5, sd = 1), range = c(-0.1, 0.1))), 1, tolerance = 0.01)
testthat::expect_equal(as.numeric(mhdior(x = distribution_normal(1000, mean = 1, sd = 1), range = c(-0.1, 0.1))), 0.631, tolerance = 0.01)
testthat::expect_equal(as.numeric(mhdior(x = distribution_normal(1000, mean = -1, sd = 1), range = c(-0.1, 0.1))), 0.631, tolerance = 0.01)
testthat::expect_equal(as.numeric(mhdior(x = distribution_normal(1000, mean = 0, sd = 1), range = c(-0.1, 0.1))), -0.079, tolerance = 0.01)
testthat::expect_equal(as.numeric(mhdior(x = distribution_normal(1000, mean = 0, sd = 0.01), range = c(-0.1, 0.1))), -1, tolerance = 0.01)
})
```