skip_if_not_installed("censReg")
skip_if_not_installed("AER")

data("Affairs", package = "AER")

m1 <- censReg::censReg(
  affairs ~ age + yearsmarried + religiousness + occupation + rating,
  data = Affairs
)

test_that("model_info", {
  expect_false(model_info(m1)$is_linear)
  expect_true(model_info(m1)$is_censored)
})

test_that("find_predictors", {
  expect_identical(find_predictors(m1), list(
    conditional = c(
      "age",
      "yearsmarried",
      "religiousness",
      "occupation",
      "rating"
    )
  ))
  expect_identical(
    find_predictors(m1, flatten = TRUE),
    c(
      "age",
      "yearsmarried",
      "religiousness",
      "occupation",
      "rating"
    )
  )
  expect_null(find_predictors(m1, effects = "random"))
})

test_that("find_random", {
  expect_null(find_random(m1))
})

test_that("get_random", {
  expect_warning(get_random(m1))
})

test_that("get_varcov", {
  expect_equal(vcov(m1), get_varcov(m1), tolerance = 1e-3)
})

test_that("find_response", {
  expect_identical(find_response(m1), "affairs")
})

test_that("get_response", {
  expect_equal(get_response(m1), Affairs$affairs)
})

test_that("get_predictors", {
  expect_equal(
    colnames(get_predictors(m1)),
    c(
      "age",
      "yearsmarried",
      "religiousness",
      "occupation",
      "rating"
    )
  )
})

test_that("link_inverse", {
  expect_equal(link_inverse(m1)(0.2), 0.2, tolerance = 1e-5)
})

test_that("get_data", {
  expect_equal(nrow(get_data(m1)), 601)
  expect_equal(
    colnames(get_data(m1)),
    c(
      "affairs",
      "age",
      "yearsmarried",
      "religiousness",
      "occupation",
      "rating"
    )
  )
})

test_that("find_formula", {
  expect_length(find_formula(m1), 1)
  expect_equal(
    find_formula(m1),
    list(
      conditional = as.formula(
        "affairs ~ age + yearsmarried + religiousness + occupation + rating"
      )
    ),
    ignore_attr = TRUE
  )
})

test_that("find_variables", {
  expect_equal(
    find_variables(m1),
    list(
      response = "affairs",
      conditional = c(
        "age",
        "yearsmarried",
        "religiousness",
        "occupation",
        "rating"
      )
    )
  )
  expect_equal(
    find_variables(m1, flatten = TRUE),
    c(
      "affairs",
      "age",
      "yearsmarried",
      "religiousness",
      "occupation",
      "rating"
    )
  )
})

test_that("n_obs", {
  expect_equal(n_obs(m1), 601)
})

test_that("linkfun", {
  expect_false(is.null(link_function(m1)))
})

test_that("find_parameters", {
  expect_equal(
    find_parameters(m1),
    list(
      conditional = c(
        "(Intercept)",
        "age",
        "yearsmarried",
        "religiousness",
        "occupation",
        "rating",
        "logSigma"
      )
    )
  )
  expect_equal(nrow(get_parameters(m1)), 7)
  expect_equal(
    get_parameters(m1)$Parameter,
    c(
      "(Intercept)",
      "age",
      "yearsmarried",
      "religiousness",
      "occupation",
      "rating",
      "logSigma"
    )
  )
})

test_that("find_terms", {
  expect_equal(
    find_terms(m1),
    list(
      response = "affairs",
      conditional = c(
        "age",
        "yearsmarried",
        "religiousness",
        "occupation",
        "rating"
      )
    )
  )
})

test_that("is_multivariate", {
  expect_false(is_multivariate(m1))
})

test_that("find_statistic", {
  expect_identical(find_statistic(m1), "t-statistic")
})

# to avoid `Registered S3 methods overwritten by 'ivreg'` messages
if (isNamespaceLoaded("AER")) {
  unloadNamespace("AER")
}
