https://github.com/cran/bayestestR
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Tip revision: 6acd4f1707b182a2cbe2f4a4c2d4196571d36eb3 authored by Dominique Makowski on 05 December 2020, 08:30:02 UTC
version 0.8.0
Tip revision: 6acd4f1
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)
})
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