context("brms")

test_that("brms", {
  # testthat::skip_on_travis()
  testthat::skip_on_cran()

  set.seed(333)

  library(brms)

  model <- insight::download_model("brms_mixed_1")

  testthat::expect_is(hdi(model), "data.frame")
  testthat::expect_is(ci(model), "data.frame")
  testthat::expect_is(rope(model), "data.frame")
  # testthat::expect_true("equivalence_test" %in% class(equivalence_test(model)))
  testthat::expect_is(map_estimate(model), "data.frame")
  testthat::expect_is(p_map(model), "data.frame")
  testthat::expect_is(mhdior(model), "data.frame")
  testthat::expect_is(p_direction(model), "data.frame")

  testthat::expect_equal(colnames(hdi(model)), c("Parameter", "CI", "CI_low", "CI_high", "Effects", "Component"))
  testthat::expect_equal(colnames(hdi(model, effects = "all")), c("Parameter", "CI", "CI_low", "CI_high", "Effects", "Component"))
  # testthat::expect_equal(nrow(equivalence_test(model)), 2)
})