https://github.com/cran/bayestestR
Tip revision: 3da49db3cf0eea4d2c5eba241ddb5470cd7dd929 authored by Dominique Makowski on 26 January 2021, 16:40:03 UTC
version 0.8.2
version 0.8.2
Tip revision: 3da49db
test-hdi.R
if (require("rstanarm") && require("brms") && require("httr") && require("testthat")) {
test_that("hdi", {
expect_equal(hdi(distribution_normal(1000), ci = .90)$CI_low[1], -1.64, tolerance = 0.02)
expect_equal(nrow(hdi(distribution_normal(1000), ci = c(.80, .90, .95))), 3, tolerance = 0.01)
expect_equal(hdi(distribution_normal(1000), ci = 1)$CI_low[1], -3.09, tolerance = 0.02)
expect_equal(length(capture.output(print(hdi(distribution_normal(1000))))), 6)
expect_equal(length(capture.output(print(hdi(distribution_normal(1000), ci = c(.80, .90))))), 12)
expect_warning(hdi(c(2, 3, NA)))
expect_warning(hdi(c(2, 3)))
expect_warning(hdi(distribution_normal(1000), ci = 0.0000001))
expect_warning(hdi(distribution_normal(1000), ci = 950))
expect_warning(hdi(c(distribution_normal(1000, 0, 1), distribution_normal(1000, 6, 1), distribution_normal(1000, 12, 1)), ci = .10))
})
.runThisTest <- Sys.getenv("RunAllbayestestRTests") == "yes"
if (.runThisTest) {
if (require("insight")) {
m <- insight::download_model("stanreg_merMod_5")
p <- insight::get_parameters(m, effects = "all")
test_that("ci", {
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", {
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
)
})
}
}
}