skip_on_cran()
skip_on_os(c("mac", "solaris"))
skip_if_not_installed("lme4")
skip_if_not_installed("glmmTMB")
skip_if_not_installed("marginaleffects")

# glmmTMB ----
test_that("ggpredict, glmmTMB prediction intervals random effects", {
  data(iris)
  m <- glmmTMB::glmmTMB(Sepal.Length ~ Sepal.Width + (1 | Species), data = iris)
  out1 <- ggpredict(m, "Species", type = "random")
  out2 <- ggpredict(m, "Species", type = "random", interval = "confidence")
  out3 <- ggpredict(m, "Species", type = "random", verbose = FALSE)
  out4 <- ggpredict(m, c("Sepal.Width", "Species"), type = "random")
  expect_equal(out1$conf.low, c(3.85055, 5.29633, 5.78545), tolerance = 1e-3)
  expect_equal(out2$conf.low, c(4.57423, 6.02764, 6.52735), tolerance = 1e-3)
  expect_message(print(out1), regex = "prediction")
  expect_no_message(print(out3))
  expect_no_message(print(hypothesis_test(out1)))
  expect_message(
    print(hypothesis_test(out4)),
    regex = "Intervals"
  )
  expect_no_message(
    print(print(hypothesis_test(out1, verbose = FALSE)))
  )
})

# lmer ----
test_that("ggpredict, lmer prediction intervals random effects", {
  data(iris)
  m <- lme4::lmer(Sepal.Length ~ Sepal.Width + (1 | Species), data = iris)
  out1 <- ggpredict(m, "Species", type = "random")
  expect_null(out1$conf.low)

  out1 <- ggpredict(m, c("Sepal.Width [2:4]", "Species"), type = "random")
  out2 <- ggpredict(m, c("Sepal.Width [2:4]", "Species"), type = "random", interval = "confidence")
  expect_equal(
    out1$conf.low,
    c(
      2.41206, 3.86114, 4.34869, 3.22614, 4.67521, 5.16276, 4.00984,
      5.45891, 5.94646
    ),
    tolerance = 1e-3
  )
  expect_equal(
    out2$conf.low,
    c(
      2.69634, 4.14542, 4.63296, 3.51457, 4.96365, 5.45119, 4.29495,
      5.74403, 6.23158
    ),
    tolerance = 1e-3
  )
})