https://github.com/cran/bayestestR
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Tip revision: 01482dc32c49cc56111762e704c854b5f287966a authored by Dominique Makowski on 20 April 2020, 05:10:28 UTC
version 0.6.0
Tip revision: 01482dc
test-p_map.R
if (requireNamespace("rstanarm", quietly = TRUE)) {
  context("p_map")

  test_that("p_map", {
    testthat::expect_equal(as.numeric(p_map(distribution_normal(1000))), 1, tolerance = 0.01)
    testthat::expect_equal(as.numeric(p_map(distribution_normal(1000, 1, 1))), 0.62, tolerance = 0.01)
    testthat::expect_equal(as.numeric(p_map(distribution_normal(1000, 2, 1))), 0.15, tolerance = 0.01)
    testthat::expect_equal(as.numeric(p_map(distribution_normal(1000, 3, 0.01))), 0, tolerance = 0.01)
  })


  .runThisTest <- Sys.getenv("RunAllinsightTests") == "yes"
  if (.runThisTest || Sys.getenv("USER") == "travis") {
    if (require("insight")) {
      m <- insight::download_model("stanreg_merMod_5")
      p <- insight::get_parameters(m, effects = "all")

      test_that("p_map", {
        testthat::expect_equal(
          p_map(m, effects = "all")$p_MAP,
          p_map(p)$p_MAP,
          tolerance = 1e-3
        )
      })

      m <- insight::download_model("brms_zi_3")
      p <- insight::get_parameters(m, effects = "all", component = "all")

      test_that("p_map", {
        testthat::expect_equal(
          p_map(m, effects = "all", component = "all")$p_MAP,
          p_map(p)$p_MAP,
          tolerance = 1e-3
        )
      })
    }
  }
}
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