if (require("testthat") &&
require("insight") &&
require("rms")) {
context("insight, model_info")
data(mtcars)
m1 <- lrm(am ~ mpg + gear, data = mtcars)
test_that("model_info", {
expect_true(model_info(m1)$is_binomial)
expect_true(model_info(m1)$is_logit)
})
test_that("find_predictors", {
expect_identical(find_predictors(m1), list(conditional = c("mpg", "gear")))
expect_identical(find_predictors(m1, flatten = TRUE), c("mpg", "gear"))
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), "am")
})
test_that("get_response", {
expect_equal(get_response(m1), mtcars$am)
})
test_that("get_predictors", {
expect_equal(colnames(get_predictors(m1)), c("mpg", "gear"))
})
test_that("link_inverse", {
expect_equal(link_inverse(m1)(.2), plogis(.2), tolerance = 1e-5)
})
test_that("get_data", {
expect_equal(nrow(get_data(m1)), 32)
expect_equal(colnames(get_data(m1)), c("am", "mpg", "gear"))
})
test_that("find_formula", {
expect_length(find_formula(m1), 1)
expect_equal(
find_formula(m1),
list(conditional = as.formula("am ~ mpg + gear"))
)
})
test_that("find_terms", {
expect_equal(find_terms(m1), list(
response = "am",
conditional = c("mpg", "gear")
))
expect_equal(find_terms(m1, flatten = TRUE), c("am", "mpg", "gear"))
})
test_that("n_obs", {
expect_equal(n_obs(m1), 32)
})
test_that("linkfun", {
expect_false(is.null(link_function(m1)))
})
test_that("linkinverse", {
expect_false(is.null(link_inverse(m1)))
})
test_that("find_parameters", {
expect_equal(
find_parameters(m1),
list(conditional = c("Intercept", "mpg", "gear"))
)
expect_equal(nrow(get_parameters(m1)), 3)
expect_equal(
get_parameters(m1)$Parameter,
c("Intercept", "mpg", "gear")
)
})
test_that("is_multivariate", {
expect_false(is_multivariate(m1))
})
test_that("find_algorithm", {
expect_equal(find_algorithm(m1), list(algorithm = "ML"))
})
test_that("find_statistic", {
expect_identical(find_statistic(m1), "z-statistic")
})
}
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