.runThisTest <- Sys.getenv("RunAllinsightTests") == "yes"

if (.runThisTest && requiet("rms")) {
  data(mtcars)
  m1 <- lrm(am ~ mpg + gear, data = mtcars)

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

  test_that("find_predictors", {
    expect_identical(find_predictors(m1), list(conditional = c("mpg", "gear")))
    expect_identical(find_predictors(m1, flatten = TRUE), c("mpg", "gear"))
    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("find_response", {
    expect_identical(find_response(m1), "am")
  })

  test_that("get_response", {
    expect_equal(get_response(m1), mtcars$am)
  })

  test_that("get_predictors", {
    expect_equal(colnames(get_predictors(m1)), c("mpg", "gear"))
  })

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

  test_that("get_data", {
    expect_equal(nrow(get_data(m1)), 32)
    expect_equal(colnames(get_data(m1)), c("am", "mpg", "gear"))
  })

  test_that("find_formula", {
    expect_length(find_formula(m1), 1)
    expect_equal(
      find_formula(m1),
      list(conditional = as.formula("am ~ mpg + gear")),
      ignore_attr = TRUE
    )
  })

  test_that("find_terms", {
    expect_equal(find_terms(m1), list(
      response = "am",
      conditional = c("mpg", "gear")
    ))
    expect_equal(find_terms(m1, flatten = TRUE), c("am", "mpg", "gear"))
  })

  test_that("n_obs", {
    expect_equal(n_obs(m1), 32)
  })

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

  test_that("linkinverse", {
    expect_false(is.null(link_inverse(m1)))
  })

  test_that("find_parameters", {
    expect_equal(
      find_parameters(m1),
      list(conditional = c("Intercept", "mpg", "gear"))
    )
    expect_equal(nrow(get_parameters(m1)), 3)
    expect_equal(
      get_parameters(m1)$Parameter,
      c("Intercept", "mpg", "gear")
    )
  })

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

  test_that("find_algorithm", {
    expect_equal(find_algorithm(m1), list(algorithm = "ML"))
  })

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

  m2 <- rms::orm(mpg ~ cyl + disp + hp + drat, data = mtcars)
  aov_model <- anova(m2)

  test_that("find_statistic anova", {
    expect_identical(find_statistic(aov_model), "chi-squared statistic")
  })

  test_that("find_parameters anova", {
    expect_identical(find_parameters(aov_model), list(conditional = c("cyl", "disp", "hp", "drat", "TOTAL")))
  })

  test_that("get_statistic anova", {
    expect_identical(
      get_statistic(aov_model)$Statistic,
      aov_model[, 1],
      ignore_attr = TRUE,
      tolerance = 1e-3
    )
  })
}
