skip_if_not_installed("gmnl")
skip_if_not_installed("mlogit")
skip_if_not_installed("MASS")
data(housing, package = "MASS")
dat <<- mlogit::mlogit.data(housing, choice = "Sat", shape = "wide")
void <- capture.output(
m1 <- gmnl::gmnl(Sat ~ Infl + Type + Cont | 1,
data = dat,
model = "smnl",
R = 100
)
)
test_that("model_info", {
expect_false(model_info(m1)$is_ordinal)
expect_true(model_info(m1)$is_multinomial)
})
test_that("find_predictors", {
expect_identical(find_predictors(m1), list(conditional = c("Infl", "Type", "Cont")))
expect_identical(
find_predictors(m1, flatten = TRUE),
c("Infl", "Type", "Cont")
)
expect_null(find_predictors(m1, effects = "random"))
})
test_that("find_response", {
expect_identical(find_response(m1), "Sat")
})
test_that("link_inverse", {
expect_equal(link_inverse(m1)(0.2), plogis(0.2), tolerance = 1e-5)
})
test_that("get_data", {
expect_equal(nrow(get_data(m1, verbose = FALSE)), 216)
expect_equal(colnames(get_data(m1, verbose = FALSE)), c("Sat", "Infl", "Type", "Cont"))
})
test_that("find_formula", {
expect_length(find_formula(m1), 1)
})
test_that("find_terms", {
expect_equal(find_terms(m1), list(
response = "Sat",
conditional = c("Infl", "Type", "Cont", "1")
))
expect_equal(
find_terms(m1, flatten = TRUE),
c("Sat", "Infl", "Type", "Cont", "1")
)
})
test_that("n_obs", {
expect_equal(n_obs(m1), 72)
})
test_that("find_variables", {
expect_equal(find_variables(m1), list(
response = "Sat",
conditional = c("Infl", "Type", "Cont")
))
expect_equal(
find_variables(m1, flatten = TRUE),
c("Sat", "Infl", "Type", "Cont")
)
})
test_that("linkfun", {
expect_false(is.null(link_function(m1)))
})
test_that("is_multivariate", {
expect_false(is_multivariate(m1))
})
test_that("find_statistic", {
expect_identical(find_statistic(m1), "z-statistic")
})
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