skip_on_os(c("mac", "solaris"))
skip_if_not_installed("nestedLogit")
skip_if_not_installed("effects")
skip_if_not_installed("car")
skip_if_not_installed("carData")
skip_if_not_installed("broom")

test_that("plot, correct x-labels order for character vector", {
  data(Womenlf, package = "carData")
  Womenlf$partic <- with(
    Womenlf,
    factor(partic, levels = c("not.work", "parttime", "fulltime"))
  )

  m <- nestedLogit::nestedLogit(partic ~ hincome + children,
    dichotomies = nestedLogit::logits(
      work = nestedLogit::dichotomy("not.work", working = c("parttime", "fulltime")),
      full = nestedLogit::dichotomy("parttime", "fulltime")
    ),
    data = Womenlf
  )

  new <- expand.grid(
    hincome = c(30, 40),
    children = c("absent", "present")
  )

  out <- as.data.frame(ggpredict(m, c("hincome [30, 40]", "children")))
  expected <- as.data.frame(predict(m, newdata = new), newdata = new)
  expected <- expected[order(expected$hincome, expected$children), ]

  expect_equal(
    out$predicted,
    expected$p,
    ignore_attr = TRUE,
    tolerance = 1e-3
  )

  expect_equal(
    out$conf.low,
    c(
      0.30665, 0.09012, 0.13574, 0.6929, 0.08997, 0.0034, 0.32716, 
      0.10429, 0.02488, 0.70621, 0.0465, 0.00037),
    ignore_attr = TRUE,
    tolerance = 1e-3
  )
})

test_that("ggeffect works with nestedLogit", {
  data("Womenlf", package = "carData")
  m <- nestedLogit::nestedLogit(partic ~ hincome + children,
    nestedLogit::logits(
      work = nestedLogit::dichotomy("not.work", c("parttime", "fulltime")),
      full = nestedLogit::dichotomy("parttime", "fulltime")
    ),
    data = Womenlf
  )
  out1 <- ggeffect(m, "hincome [1,10,20,30,40]")
  out2 <- effects::Effect("hincome", m)

  expect_equal(out1$predicted, as.vector(out2$prob), ignore_attr = TRUE, tolerance = 1e-3)
})