test_that("rope_range cor", {
  x <- cor.test(ToothGrowth$len, ToothGrowth$dose)
  expect_equal(rope_range(x), c(-0.05, 0.05), tolerance = 1e-3)
})

test_that("rope_range gaussian", {
  data(mtcars)
  mod <- lm(mpg ~ gear + hp, data = mtcars)
  expect_equal(rope_range(mod), c(-0.1 * sd(mtcars$mpg), 0.1 * sd(mtcars$mpg)), tolerance = 1e-3)
})

test_that("rope_range log gaussian", {
  data(iris)
  mod <- lm(log(Sepal.Length) ~ Species, data = iris)
  expect_equal(rope_range(mod), c(-0.01, 0.01), tolerance = 1e-3)
})

test_that("rope_range log gaussian 2", {
  data(mtcars)
  mod <- glm(mpg ~ gear + hp, data = mtcars, family = gaussian("log"))
  expect_equal(rope_range(mod), c(-0.01, 0.01), tolerance = 1e-3)
})

test_that("rope_range logistic", {
  data(mtcars)
  mod <- glm(am ~ gear + hp, data = mtcars, family = binomial())
  expect_equal(rope_range(mod), c(-1 * 0.1 * pi / sqrt(3), 0.1 * pi / sqrt(3)), tolerance = 1e-3)
})



test_that("rope_range", {
  skip_if_not_or_load_if_installed("brms")
  model <- suppressWarnings(brms::brm(mpg ~ wt + gear, data = mtcars, iter = 300))

  expect_equal(
    rope_range(model),
    c(-0.6026948, 0.6026948),
    tolerance = 0.01
  )
})

test_that("rope_range (multivariate)", {
  skip_if_not_or_load_if_installed("brms")
  model <- suppressWarnings(
    brms::brm(brms::bf(mvbind(mpg, disp) ~ wt + gear) + brms::set_rescor(TRUE), data = mtcars, iter = 300)
  )

  expect_equal(
    rope_range(model),
    list(
      mpg = c(-0.602694, 0.602694),
      disp = c(-12.393869, 12.393869)
    ),
    tolerance = 0.01
  )
})