skip_if_not_installed("quantreg")
skip_if_not_installed("survival")

set.seed(123)
n <- 200
x <- rnorm(n)
y <- 5 + x + rnorm(n)
c <- 4 + x + rnorm(n)
d <- (y > c)

dat <<- data.frame(y, x, c, d)

# model
m1 <- quantreg::crq(survival::Surv(pmax(y, c), d, type = "left") ~ x, method = "Portnoy", data = dat)

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 = "x")
  )
})

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


test_that("find_response", {
  expect_identical(find_response(m1), "survival::Surv(pmax(y, c), d, type = \"left\")")
})

test_that("get_predictors", {
  expect_equal(colnames(get_predictors(m1)), "x")
})

test_that("get_data", {
  expect_equal(nrow(get_data(m1)), 200)
  expect_equal(
    colnames(get_data(m1)),
    c("y", "c", "d", "x")
  )
})

test_that("find_formula", {
  expect_length(find_formula(m1), 1)
  expect_equal(
    find_formula(m1),
    list(conditional = as.formula("survival::Surv(pmax(y, c), d, type = \"left\") ~ x")),
    ignore_attr = TRUE
  )
})

test_that("find_terms", {
  expect_equal(
    find_terms(m1),
    list(
      response = "Surv(pmax(y, c), d, type = \"left\")",
      conditional = "x"
    )
  )
  expect_equal(
    find_terms(m1, flatten = TRUE),
    c("Surv(pmax(y, c), d, type = \"left\")", "x")
  )
})

test_that("n_obs", {
  expect_equal(n_obs(m1), 200)
})

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

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

test_that("find_parameters", {
  expect_equal(
    find_parameters(m1),
    list(conditional = c("(Intercept)", "x"))
  )
  expect_equal(nrow(get_parameters(m1)), 8)
  expect_equal(
    get_parameters(m1)$Parameter,
    c("(Intercept)", "x", "(Intercept)", "x", "(Intercept)", "x", "(Intercept)", "x")
  )
  expect_equal(
    get_parameters(m1)$Component,
    c("tau (0.2)", "tau (0.2)", "tau (0.4)", "tau (0.4)", "tau (0.6)", "tau (0.6)", "tau (0.8)", "tau (0.8)")
  )
})

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


test_that("get_statistic", {
  expect_equal(
    get_statistic(m1)$Parameter,
    c("(Intercept)", "x", "(Intercept)", "x", "(Intercept)", "x", "(Intercept)", "x")
  )
  expect_equal(
    get_statistic(m1)$Statistic,
    c(67.64633, 5.88482, 56.8453, 10.05249, 76.86565, 9.78366, 53.05556, 12.83912),
    tolerance = 1e-3
  )
})