test_that("sample_dvine() works with clayton copula", {
  copula_par = 1:6
  rotation_par = rep(0, 6)
  copula_family = "clayton"
  set.seed(1)
  U = sample_dvine(copula_par, rotation_par, copula_family, n = 1e2)
  expected_values = c(0.99152565, 0.02532641, 0.52018781, 0.06633612)
  output_values = c(U[1, 1], U[2, 2], U[3, 3], U[4, 4])
  expect_equal(output_values,
               expected_values)
})

test_that("sample_deltas_BinCont() works with clayton copula", {
  copula_par = 1:6
  rotation_par = rep(0, 6)
  copula_family = "clayton"
  # Quantile functions.
  q_S0 = function(x) {
    qnorm(x)
  }
  q_S1 = function(x) {
    qnorm(x, mean = 1)
  }
  set.seed(1)
  Delta = sample_deltas_BinCont(
    copula_par,
    rotation_par,
    copula_family,
    n = 1e2,
    q_S0 = q_S0,
    q_S1 = q_S1
  )$Delta_dataframe
  expected_values = c(1.20168104, 0.99663129, 0L, 0L)
  output_values = c(Delta$DeltaS[1:2], Delta$DeltaT[3:4])
  expect_equal(output_values,
               expected_values)
})


test_that("estimate_ICA_BinCont() works in a sample example", {
  copula_par = 1:6
  rotation_par = rep(0, 6)
  copula_family = "clayton"
  # Quantile functions.
  q_S0 = function(x) {
    qnorm(x)
  }
  q_S1 = function(x) {
    qnorm(x, mean = 1)
  }
  set.seed(1)
  Delta = sample_deltas_BinCont(
    copula_par,
    rotation_par,
    copula_family,
    n = 1e2,
    q_S0 = q_S0,
    q_S1 = q_S1
  )$Delta_dataframe
  ICA = estimate_ICA_BinCont(Delta$DeltaS, Delta$DeltaT)
  expected_values = c(1.20168104, 0.99663129, 0L, 0L)
  output_values = c(Delta$DeltaS[1:2], Delta$DeltaT[3:4])
  expect_equal(output_values,
               expected_values)
})

test_that("compute_ICA_BinCont() works in a sample example", {
  copula_par = 1:6
  rotation_par = rep(0, 6)
  copula_family = "clayton"
  # Quantile functions.
  q_S0 = function(x) {
    qnorm(x)
  }
  q_S1 = function(x) {
    qnorm(x, mean = 1)
  }
  set.seed(1)
  ICA = compute_ICA_BinCont(
    copula_par = copula_par,
    rotation_par = rotation_par,
    copula_family1 = copula_family,
    copula_family2 = copula_family,
    n_prec = 1e3,
    q_S0 = q_S0,
    q_S1 = q_S1,
    seed = 1
  )
  expected_values = c(0.25048788, -0.53843674, 0.3952069, 0.74461876)
  output_values = ICA[1:4]
  expect_equal(output_values,
               expected_values,
               ignore_attr = "names",
               tolerance = 1e-4)
})