https://github.com/cran/bayestestR
Tip revision: e1fa15d202de277bb07e58bb3013557724072b2b authored by Dominique Makowski on 22 September 2019, 15:30:05 UTC
version 0.3.0
version 0.3.0
Tip revision: e1fa15d
test-hdi.R
context("hdi")
test_that("hdi", {
testthat::expect_equal(hdi(distribution_normal(1000), ci = .90)$CI_low[1], -1.64, tolerance = 0.02)
testthat::expect_equal(nrow(hdi(distribution_normal(1000), ci = c(.80, .90, .95))), 3, tolerance = 0.01)
testthat::expect_equal(hdi(distribution_normal(1000), ci = 1)$CI_low[1], -3.09, tolerance = 0.02)
testthat::expect_equal(length(capture.output(print(hdi(distribution_normal(1000))))), 5)
testthat::expect_equal(length(capture.output(print(hdi(distribution_normal(1000), ci = c(.80, .90))))), 10)
testthat::expect_warning(hdi(c(2, 3, NA)))
testthat::expect_warning(hdi(c(2, 3)))
testthat::expect_warning(hdi(distribution_normal(1000), ci = 0.0000001))
testthat::expect_warning(hdi(distribution_normal(1000), ci = 950))
testthat::expect_warning(hdi(c(distribution_normal(1000, 0, 1), distribution_normal(1000, 6, 1), distribution_normal(1000, 12, 1)), ci = .10))
})
if (require("insight")) {
m <- insight::download_model("stanreg_merMod_5")
p <- insight::get_parameters(m, effects = "all")
test_that("ci", {
testthat::expect_equal(
hdi(m, ci = c(.5, .8), effects = "all")$CI_low,
hdi(p, ci = c(.5, .8))$CI_low,
tolerance = 1e-3
)
})
m <- insight::download_model("brms_zi_3")
p <- insight::get_parameters(m, effects = "all", component = "all")
test_that("rope", {
testthat::expect_equal(
hdi(m, ci = c(.5, .8), effects = "all", component = "all")$CI_low,
hdi(p, ci = c(.5, .8))$CI_low,
tolerance = 1e-3
)
})
}