revdep/checks.noindex/insight/new/insight.Rcheck/tests/testthat/test-bigglm.R

In gbm-developers/gbm: Generalized Boosted Regression Models

.runThisTest <- Sys.getenv("RunAllinsightTests") == "yes"

if (.runThisTest || Sys.getenv("USER") == "travis") {
  if (require("testthat") &&
    require("insight") && require("glmmTMB") && require("biglm")) {
    context("insight, model_info")

    data(Salamanders)
    Salamanders$cover <- abs(Salamanders$cover)

    m1 <-
      bigglm(count ~ mined + log(cover) + sample,
        family = poisson(),
        data = Salamanders
      )

    test_that("model_info", {
      expect_true(model_info(m1)$is_poisson)
      expect_true(model_info(m1)$is_count)
      expect_false(model_info(m1)$is_negbin)
      expect_false(model_info(m1)$is_binomial)
    })

    test_that("find_predictors", {
      expect_identical(find_predictors(m1), list(conditional = c("mined", "cover", "sample")))
      expect_identical(
        find_predictors(m1, flatten = TRUE),
        c("mined", "cover", "sample")
      )
      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), "count")
    })

    test_that("get_response", {
      expect_equal(get_response(m1), Salamanders$count)
    })

    test_that("get_predictors", {
      expect_equal(
        colnames(get_predictors(m1)),
        c("mined", "cover", "sample")
      )
    })

    test_that("link_inverse", {
      expect_equal(link_inverse(m1)(.2), exp(.2), tolerance = 1e-5)
    })

    test_that("get_data", {
      expect_equal(nrow(get_data(m1)), 644)
      expect_equal(
        colnames(get_data(m1)),
        c(
          "site",
          "mined",
          "cover",
          "sample",
          "DOP",
          "Wtemp",
          "DOY",
          "spp",
          "count"
        )
      )
    })

    test_that("find_formula", {
      expect_length(find_formula(m1), 1)
      expect_equal(
        find_formula(m1),
        list(conditional = as.formula("count ~ mined + log(cover) + sample"))
      )
    })

    test_that("find_variables", {
      expect_equal(
        find_variables(m1),
        list(
          response = "count",
          conditional = c("mined", "cover", "sample")
        )
      )
      expect_equal(
        find_variables(m1, flatten = TRUE),
        c("count", "mined", "cover", "sample")
      )
    })

    test_that("n_obs", {
      expect_equal(n_obs(m1), 644)
    })

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

    test_that("find_parameters", {
      expect_equal(
        find_parameters(m1),
        list(
          conditional = c("(Intercept)", "minedno", "log(cover)", "sample")
        )
      )
      expect_equal(nrow(get_parameters(m1)), 4)
      expect_equal(
        get_parameters(m1)$Parameter,
        c("(Intercept)", "minedno", "log(cover)", "sample")
      )
    })

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

    test_that("find_terms", {
      expect_equal(
        find_terms(m1),
        list(
          response = "count",
          conditional = c("mined", "log(cover)", "sample")
        )
      )
    })

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

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