tests/testthat/test-rqss.R

In insight: Easy Access to Model Information for Various Model Objects

skip_on_cran()
skip_if_not_installed("quantreg")
skip_if_not_installed("interp")

## NOTE Run this test conditionally every now and then, requires package
##      "tripack", which has a non-standard license.

suppressPackageStartupMessages({
  suppressWarnings(suppressMessages(library(quantreg, quietly = TRUE, warn.conflicts = FALSE)))
})

data("CobarOre", package = "quantreg")
set.seed(123)
CobarOre$w <- rnorm(nrow(CobarOre))

# model
m1 <- rqss(z ~ w + qss(cbind(x, y), lambda = 0.08), data = CobarOre)


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

test_that("find_predictors", {
  expect_identical(
    find_predictors(m1),
    list(conditional = c("w", "x", "y"))
  )
  expect_identical(
    find_predictors(m1, flatten = TRUE),
    c("w", "x", "y")
  )
  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), "z")
})

test_that("find_formula", {
  expect_length(find_formula(m1), 1)
  expect_equal(
    find_formula(m1),
    list(conditional = as.formula("z ~ w + qss(cbind(x, y), lambda = 0.08)")),
    ignore_attr = TRUE
  )
})

test_that("find_terms", {
  expect_equal(
    find_terms(m1),
    list(response = "z", conditional = c("w", "qss(cbind(x, y), lambda = 0.08)"))
  )
  expect_equal(
    find_terms(m1, flatten = TRUE),
    c("z", "w", "qss(cbind(x, y), lambda = 0.08)")
  )
})

test_that("n_obs", {
  expect_equal(n_obs(m1), 38)
})

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

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

test_that("find_parameters", {
  expect_equal(
    find_parameters(m1),
    list(conditional = c("(Intercept)", "w"), smooth_terms = "cbind(x, y)")
  )
  expect_equal(nrow(get_parameters(m1)), 3)
  expect_equal(
    get_parameters(m1)$Parameter,
    c("(Intercept)", "w", "cbind(x, y)")
  )
})

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

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

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