revdep/checks.noindex/insight/old/insight.Rcheck/tests/testthat/test-vglm.R

In gbm-developers/gbm: Generalized Boosted Regression Models

unloadNamespace("gam")

if (require("testthat") && require("insight") && require("VGAM")) {
  context("insight, model_info")

  d.AD <- data.frame(
    treatment = gl(3, 3),
    outcome = gl(3, 1, 9),
    counts = c(18, 17, 15, 20, 10, 20, 25, 13, 12)
  )

  m1 <-
    vglm(
      counts ~ outcome + treatment,
      family = poissonff,
      data = d.AD,
      trace = TRUE
    )

  test_that("model_info", {
    expect_true(model_info(m1)$is_poisson)
    expect_false(model_info(m1)$is_bayesian)
  })

  test_that("find_predictors", {
    expect_identical(find_predictors(m1), list(conditional = c("outcome", "treatment")))
    expect_identical(
      find_predictors(m1, flatten = TRUE),
      c("outcome", "treatment")
    )
    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), "counts")
  })

  test_that("get_response", {
    expect_equal(get_response(m1), d.AD$counts)
  })

  test_that("get_predictors", {
    expect_equal(colnames(get_predictors(m1)), c("outcome", "treatment"))
  })

  li <- suppressWarnings(link_inverse(m1)(.2)[1, 1])
  test_that("link_inverse", {
    expect_equal(li, exp(.2), tolerance = 1e-5)
    expect_warning(link_inverse(m1)(.2))
  })

  test_that("get_data", {
    expect_equal(nrow(get_data(m1)), 9)
    expect_equal(colnames(get_data(m1)), c("counts", "outcome", "treatment"))
  })

  test_that("find_formula", {
    expect_length(find_formula(m1), 1)
    expect_equal(
      find_formula(m1),
      list(conditional = as.formula("counts ~ outcome + treatment"))
    )
  })

  test_that("find_terms", {
    expect_equal(find_terms(m1), list(
      response = "counts",
      conditional = c("outcome", "treatment")
    ))
    expect_equal(
      find_terms(m1, flatten = TRUE),
      c("counts", "outcome", "treatment")
    )
  })

  test_that("n_obs", {
    expect_equal(n_obs(m1), 9)
  })

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

  test_that("find_parameters", {
    expect_equal(
      find_parameters(m1),
      list(
        conditional = c(
          "(Intercept)",
          "outcome2",
          "outcome3",
          "treatment2",
          "treatment3"
        )
      )
    )
    expect_equal(nrow(get_parameters(m1)), 5)
    expect_equal(
      get_parameters(m1)$Parameter,
      c(
        "(Intercept)",
        "outcome2",
        "outcome3",
        "treatment2",
        "treatment3"
      )
    )
  })

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

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