skip_if_not_installed("rms")
m1 <- rms::ols(mpg ~ rms::rcs(hp, 3) * cyl + wt, data = mtcars)
test_that("model_info", {
expect_true(model_info(m1)$is_linear)
})
test_that("find_predictors", {
expect_identical(find_predictors(m1), list(conditional = c("hp", "cyl", "wt")))
expect_identical(find_predictors(m1, flatten = TRUE), c("hp", "cyl", "wt"))
expect_null(find_predictors(m1, effects = "random"))
})
test_that("find_random", {
expect_null(find_random(m1))
})
test_that("get_random", {
expect_warning(get_random(m1))
})
test_that("find_response", {
expect_identical(find_response(m1), "mpg")
})
test_that("get_response", {
expect_equal(get_response(m1), mtcars$mpg)
})
test_that("get_predictors", {
expect_equal(colnames(get_predictors(m1)), c("hp", "cyl", "wt"))
})
test_that("get_data", {
expect_equal(nrow(get_data(m1)), 32)
expect_equal(colnames(get_data(m1)), c("mpg", "hp", "cyl", "wt"))
})
test_that("find_formula", {
expect_length(find_formula(m1), 1)
expect_equal(
find_formula(m1),
list(conditional = as.formula("mpg ~ rms::rcs(hp, 3) * cyl + wt")),
ignore_attr = TRUE
)
})
test_that("find_variables", {
expect_equal(find_variables(m1), list(
response = "mpg",
conditional = c("hp", "cyl", "wt")
))
expect_equal(
find_variables(m1, flatten = TRUE),
c("mpg", "hp", "cyl", "wt")
)
})
test_that("n_obs", {
expect_equal(n_obs(m1), 32)
})
test_that("linkfun", {
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", "hp", "hp'", "cyl", "wt", "hp * cyl", "hp' * cyl")
)
)
expect_equal(nrow(get_parameters(m1)), 7)
expect_equal(
get_parameters(m1)$Parameter,
c("Intercept", "hp", "hp'", "cyl", "wt", "hp * cyl", "hp' * cyl")
)
})
test_that("is_multivariate", {
expect_false(is_multivariate(m1))
})
test_that("find_algorithm", {
expect_equal(find_algorithm(m1), list(algorithm = "OLS"))
})
# TO DO
# test_that("find_statistic", {
# expect_null(find_statistic(m1))
# })
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