test_that("rstanarm-1", {
  skip_on_cran()
  skip_if_not_installed("curl")
  skip_if_offline()
  skip_if_not_installed("httr2")
  skip_if_not_or_load_if_installed("rstanarm")

  set.seed(333)
  model <- insight::download_model("stanreg_lm_1")
  expect_equal(rope_range(model, verbose = FALSE)[1], -0.602, tolerance = 0.1)

  model <- insight::download_model("stanreg_meanfield_lm_1")
  expect_equal(rope_range(model, verbose = FALSE)[1], -0.602, tolerance = 0.1)

  model <- insight::download_model("stanreg_fullrank_lm_1")
  expect_equal(rope_range(model, verbose = FALSE)[1], -0.602, tolerance = 0.1)

  model <- insight::download_model("stanreg_lmerMod_1")
  expect_equal(rope_range(model, verbose = FALSE)[1], -0.097, tolerance = 0.1)

  model <- insight::download_model("stanreg_glm_1")
  expect_equal(rope_range(model, verbose = FALSE)[1], -0.18, tolerance = 0.1)

  model <- insight::download_model("stanreg_merMod_1")
  expect_equal(rope_range(model, verbose = FALSE)[1], -0.18, tolerance = 0.1)

  model <- insight::download_model("stanreg_gamm4_1")
  expect_equal(rope_range(model, verbose = FALSE)[1], -0.043, tolerance = 0.1)

  model <- insight::download_model("stanreg_gam_1")
  invisible(capture.output(
    expect_warning(
      params <- describe_posterior(
        model,
        centrality = "all",
        test = "all",
        dispersion = TRUE
      )
    )
  ))
  expect_equal(c(nrow(params), ncol(params)), c(4, 22))

  expect_s3_class(hdi(model), "data.frame")
  expect_s3_class(ci(model), "data.frame")
  expect_s3_class(rope(model, verbose = FALSE), "data.frame")
  expect_true(inherits(equivalence_test(model), "equivalence_test"))
  expect_s3_class(map_estimate(model), "data.frame")
  expect_s3_class(p_map(model), "data.frame")
  expect_s3_class(p_direction(model), "data.frame")

  expect_error(equivalence_test(model, range = c(0.1, 0.3, 0.5)))
})

test_that("rstanarm-2", {
  skip_on_cran()
  skip_if_not_installed("curl")
  skip_if_offline()
  skip_if_not_installed("httr2")
  skip_if_not_or_load_if_installed("rstanarm")

  set.seed(333)
  model <- insight::download_model("stanreg_glm_3")

  out <- describe_posterior(
    model,
    effects = "all",
    component = "all",
    centrality = "mean"
  )
  s <- summary(model)
  expect_named(
    out,
    c(
      "Parameter",
      "Mean",
      "CI",
      "CI_low",
      "CI_high",
      "pd",
      "ROPE_CI",
      "ROPE_low",
      "ROPE_high",
      "ROPE_Percentage",
      "Rhat",
      "ESS_tail"
    )
  )
  expect_equal(as.vector(s[1:4, 1, drop = TRUE]), out$Mean, tolerance = 1e-3)
  expect_equal(as.vector(s[1:4, 8, drop = TRUE]), out$Rhat, tolerance = 1e-1)

  out <- diagnostic_posterior(model)
  expect_named(
    out,
    c("Parameter", "Rhat", "MCSE", "ESS_tail", "ESS_bulk")
  )
})

test_that("rstanarm-3", {
  skip_on_cran()
  skip_if_not_installed("curl")
  skip_if_offline()
  skip_if_not_installed("httr2")
  skip_if_not_or_load_if_installed("rstanarm")

  set.seed(333)
  model <- insight::download_model("stanreg_merMod_3")

  out <- describe_posterior(
    model,
    effects = "all",
    component = "all",
    centrality = "mean"
  )
  s <- summary(model)
  expect_named(
    out,
    c(
      "Parameter",
      "Effects",
      "Mean",
      "CI",
      "CI_low",
      "CI_high",
      "pd",
      "ROPE_CI",
      "ROPE_low",
      "ROPE_high",
      "ROPE_Percentage",
      "Rhat",
      "ESS_tail"
    )
  )
  expect_equal(as.vector(s[c(1:4, 8), 1, drop = TRUE]), out$Mean, tolerance = 1e-3)
  expect_equal(as.vector(s[c(1:4, 8), 8, drop = TRUE]), out$Rhat, tolerance = 1e-1)

  out <- describe_posterior(
    model,
    effects = "full",
    component = "all",
    centrality = "mean"
  )
  s <- summary(model)
  expect_equal(as.vector(s[1:8, 1, drop = TRUE]), out$Mean, tolerance = 1e-3)
  expect_equal(as.vector(s[1:8, 8, drop = TRUE]), out$Rhat, tolerance = 1e-1)
})

test_that("rstanarm-4", {
  skip_on_cran()
  skip_if_not_installed("curl")
  skip_if_offline()
  skip_if_not_installed("httr2")
  skip_if_not_or_load_if_installed("rstanarm")

  set.seed(333)
  model <- insight::download_model("stanmvreg_1")

  out <- describe_posterior(
    model,
    effects = "fixed",
    component = "all",
    centrality = "mean",
    test = NULL
  )
  s <- summary(model)
  expect_named(
    out,
    c(
      "Parameter",
      "Response",
      "Mean",
      "CI",
      "CI_low",
      "CI_high",
      "Rhat",
      "ESS_tail"
    )
  )
  expect_equal(as.vector(s[c(1:2, 5:7), 1, drop = TRUE]), out$Mean, tolerance = 1e-3)
  expect_equal(as.vector(s[c(1:2, 5:7), 10, drop = TRUE]), out$Rhat, tolerance = 1e-1)
})


test_that("rstanarm-5", {
  skip_on_cran()
  skip_if_not_installed("curl")
  skip_if_offline()
  skip_if_not_installed("httr2")
  skip_if_not_or_load_if_installed("rstanarm")

  set.seed(333)
  model <- insight::download_model("stanmvreg_1")

  out <- describe_posterior(
    model,
    effects = "fixed",
    component = "all",
    centrality = "mean",
    test = NULL,
    priors = TRUE
  )
  expect_identical(
    colnames(out),
    c(
      "Parameter",
      "Response",
      "Mean",
      "CI",
      "CI_low",
      "CI_high",
      "Rhat",
      "ESS_tail",
      "Prior_Distribution",
      "Prior_Location",
      "Prior_Scale"
    )
  )
  expect_equal(nrow(out), 5)
})