https://github.com/cran/bayestestR
Tip revision: 428249f43a9c6fd0c425b28deb5fee51a9525d69 authored by Dominique Makowski on 18 September 2022, 01:46:03 UTC
version 0.13.0
version 0.13.0
Tip revision: 428249f
test-hdi.R
if (requiet("rstanarm") && requiet("brms") && requiet("httr") && requiet("testthat") && requiet("BayesFactor")) {
# numeric -------------------------------
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], -3.29, tolerance = 0.02)
expect_equal(nchar(capture.output(print(hdi(distribution_normal(1000))))), 22)
expect_equal(length(capture.output(print(hdi(distribution_normal(1000), ci = c(.80, .90))))), 5)
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(0, 0, 0)))
})
.runThisTest <- Sys.getenv("RunAllbayestestRTests") == "yes"
if (.runThisTest) {
if (requiet("insight")) {
# stanreg ---------------------------
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
)
})
# brms ---------------------------
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
)
})
# BayesFactor ---------------------------
mod_bf <- proportionBF(y = 15, N = 25, p = .5)
p_bf <- insight::get_parameters(mod_bf)
test_that("ci - BayesFactor", {
expect_equal(
hdi(mod_bf, ci = c(.5, .8), effects = "all", component = "all")$CI_low,
hdi(p_bf, ci = c(.5, .8))$CI_low,
tolerance = 0.1
)
})
}
}
}