tests/testthat/test-glmrob_base.R

skip_if_not_installed("robustbase")

data(carrots, package = "robustbase")

m1 <- robustbase::glmrob(
  cbind(success, total - success) ~ logdose + block,
  family = binomial,
  data = carrots,
  method = "Mqle",
  control = robustbase::glmrobMqle.control(tcc = 1.2)
)

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

test_that("find_predictors", {
  expect_identical(find_predictors(m1), list(conditional = c("logdose", "block")))
  expect_identical(find_predictors(m1, flatten = TRUE), c("logdose", "block"))
  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), "cbind(success, total - success)")
  expect_identical(find_response(m1, combine = FALSE), c("success", "total"))
})

test_that("get_response", {
  expect_equal(get_response(m1), carrots[, c("success", "total")])
})

test_that("get_predictors", {
  expect_equal(colnames(get_predictors(m1)), c("logdose", "block"))
})

test_that("get_data", {
  expect_equal(nrow(get_data(m1)), 24)
  expect_equal(
    colnames(get_data(m1)),
    c("success", "total", "logdose", "block")
  )
})

test_that("find_formula", {
  expect_length(find_formula(m1), 1)
  expect_equal(
    find_formula(m1),
    list(
      conditional = as.formula("cbind(success, total - success) ~ logdose + block")
    ),
    ignore_attr = TRUE
  )
})

test_that("find_terms", {
  expect_equal(
    find_terms(m1),
    list(
      response = "cbind(success, total - success)",
      conditional = c("logdose", "block")
    )
  )
  expect_equal(
    find_terms(m1, flatten = TRUE),
    c("cbind(success, total - success)", "logdose", "block")
  )
})

test_that("find_variables", {
  expect_equal(find_variables(m1), list(
    response = c("success", "total"),
    conditional = c("logdose", "block")
  ))
  expect_equal(
    find_variables(m1, flatten = TRUE),
    c("success", "total", "logdose", "block")
  )
})

test_that("n_obs", {
  expect_equal(n_obs(m1), 24)
  expect_equal(n_obs(m1, disaggregate = TRUE), 900)
})

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

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

test_that("find_parameters", {
  expect_equal(
    find_parameters(m1),
    list(
      conditional = c("(Intercept)", "logdose", "blockB2", "blockB3")
    )
  )
  expect_equal(nrow(get_parameters(m1)), 4)
  expect_equal(
    get_parameters(m1)$Parameter,
    c("(Intercept)", "logdose", "blockB2", "blockB3")
  )
})

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

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

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

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insight documentation built on Nov. 26, 2023, 5:08 p.m.