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https://github.com/cran/bayestestR
08 March 2024, 11:09:09 UTC
Revision 40f7c88ddf855896018cf20ec8a7ac5fbd0ea2fb authored by Dominique Makowski on 27 January 2020, 05:30:28 UTC, committed by cran-robot on 27 January 2020, 05:30:28 UTC 
version 0.5.1
1 parent d8462ad
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Tip revision: 40f7c88ddf855896018cf20ec8a7ac5fbd0ea2fb authored by Dominique Makowski on 27 January 2020, 05:30:28 UTC
version 0.5.1
Tip revision: 40f7c88
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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