context("maxLikelihood.ESF")

test_that("maxLikelihood.ESF: use", {
  set.seed(42)
  J <- 10000
  theta <- 100
  m <- 0.1
  I <- m * (J - 1) / (1 - m)

  v <- generate.ESF(theta, I, J)
  LL <- maxLikelihood.ESF(init_vals = c(100, 0.1),
                          abund = c(v))
  m_est <- LL$par[2]

  expect_equal(m,
               m_est,
               tolerance = 0.05)
  expect_equal(theta,
               LL$par[1],
               tolerance = 5)
})

test_that("maxLikelihood.ESF: abuse", {
  set.seed(42)
  J <- 100
  theta <- 100
  m <- 0.1
  I <- m * (J - 1) / (1 - m)

  v <- generate.ESF(theta, I, J)
  expect_error(
    LL <- maxLikelihood.ESF(init_vals = c(-100, 0.1),
                            abund = v , verbose = FALSE),
    "initial theta can not be below one"
  )
  expect_error(
    LL <- maxLikelihood.ESF(init_vals = c(100, -0.1),
                            abund = v, verbose = FALSE),
    "initial m can not be below zero"
  )
  expect_error(
    LL <- maxLikelihood.ESF(init_vals = c(100, 100),
                            abund = v, verbose = FALSE),
    "initial m can not be above 1"
  )

  expect_error(
    LL <- maxLikelihood.ESF(init_vals = c(100, 0.1),
                            abund = c(1), verbose = FALSE),
    "Need more than 1 species in the dataset"
  )

  expect_error(
    LL <- maxLikelihood.ESF(init_vals = c(0.1),
                            abund = v , verbose = FALSE),
    "maxLikelihood.ESF: Need exactly 2 initial values"
  )

  testthat::expect_error(
    LL <- maxLikelihood.ESF(init_vals = c(NA, 0.1),
                            abund = v , verbose = FALSE),
    "maxLikelihood.ESF: one of the initial values is NA"
  )
})