skip_if_not_installed("pscl")
data(bioChemists, package = "pscl")
m1 <- pscl::hurdle(art ~ fem + mar + kid5 + ment | kid5 + phd, data = bioChemists)
test_that("model_info", {
expect_true(model_info(m1)$is_poisson)
expect_true(model_info(m1)$is_zero_inflated)
expect_false(model_info(m1)$is_linear)
})
test_that("find_predictors", {
expect_identical(
find_predictors(m1),
list(
conditional = c("fem", "mar", "kid5", "ment"),
zero_inflated = c("kid5", "phd")
)
)
expect_identical(
find_predictors(m1, flatten = TRUE),
c("fem", "mar", "kid5", "ment", "phd")
)
expect_null(find_predictors(m1, effects = "random"))
})
test_that("find_response", {
expect_identical(find_response(m1), "art")
})
test_that("get_response", {
expect_equal(get_response(m1), bioChemists$art)
})
test_that("link_inverse", {
expect_equal(link_inverse(m1)(0.2), exp(0.2), tolerance = 1e-5)
})
test_that("get_data", {
expect_equal(nrow(get_data(m1)), 915)
expect_equal(
colnames(get_data(m1)),
c("art", "fem", "mar", "kid5", "ment", "phd")
)
})
test_that("get_df", {
expect_equal(
get_df(m1, type = "residual"),
df.residual(m1),
ignore_attr = TRUE
)
expect_equal(
get_df(m1, type = "normal"),
Inf,
ignore_attr = TRUE
)
expect_equal(
get_df(m1, type = "wald"),
Inf,
ignore_attr = TRUE
)
})
test_that("find_formula", {
expect_length(find_formula(m1), 2)
expect_equal(
find_formula(m1),
list(
conditional = as.formula("art ~ fem + mar + kid5 + ment"),
zero_inflated = as.formula("~kid5 + phd")
),
ignore_attr = TRUE
)
})
test_that("find_variables", {
expect_equal(
find_variables(m1),
list(
response = "art",
conditional = c("fem", "mar", "kid5", "ment"),
zero_inflated = c("kid5", "phd")
)
)
expect_equal(
find_variables(m1, flatten = TRUE),
c("art", "fem", "mar", "kid5", "ment", "phd")
)
})
test_that("n_obs", {
expect_equal(n_obs(m1), 915)
})
test_that("linkfun", {
expect_false(is.null(link_function(m1)))
})
test_that("find_parameters", {
expect_equal(
find_parameters(m1),
list(
conditional = c(
"count_(Intercept)",
"count_femWomen",
"count_marMarried",
"count_kid5",
"count_ment"
),
zero_inflated = c("zero_(Intercept)", "zero_kid5", "zero_phd")
)
)
expect_equal(nrow(get_parameters(m1)), 8)
expect_equal(nrow(get_parameters(m1, component = "zi")), 3)
expect_equal(
get_parameters(m1)$Parameter,
c(
"count_(Intercept)",
"count_femWomen",
"count_marMarried",
"count_kid5",
"count_ment",
"zero_(Intercept)",
"zero_kid5",
"zero_phd"
)
)
})
test_that("is_multivariate", {
expect_false(is_multivariate(m1))
})
test_that("find_terms", {
expect_equal(
find_terms(m1),
list(
response = "art",
conditional = c("fem", "mar", "kid5", "ment"),
zero_inflated = c("kid5", "phd")
)
)
})
test_that("find_statistic", {
expect_identical(find_statistic(m1), "z-statistic")
})
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