skip_on_os("mac")
skip_if_not_installed("VGAM")
d.AD <- data.frame(
treatment = gl(3, 3),
outcome = gl(3, 1, 9),
counts = c(18, 17, 15, 20, 10, 20, 25, 13, 12)
)
m1 <-
VGAM::vglm(
counts ~ outcome + treatment,
family = VGAM::poissonff,
data = d.AD,
trace = FALSE
)
test_that("model_info", {
expect_true(model_info(m1)$is_poisson)
expect_false(model_info(m1)$is_bayesian)
expect_false(model_info(m1)$is_linear)
})
test_that("find_predictors", {
expect_identical(find_predictors(m1), list(conditional = c("outcome", "treatment")))
expect_identical(
find_predictors(m1, flatten = TRUE),
c("outcome", "treatment")
)
expect_null(find_predictors(m1, effects = "random"))
})
test_that("find_random", {
expect_null(find_random(m1))
})
test_that("get_random", {
expect_warning(get_random(m1))
})
test_that("find_response", {
expect_identical(find_response(m1), "counts")
})
test_that("get_response", {
expect_equal(get_response(m1), d.AD$counts)
})
test_that("get_predictors", {
expect_equal(colnames(get_predictors(m1)), c("outcome", "treatment"))
})
li <- suppressWarnings(link_inverse(m1)(0.2)[1, 1])
test_that("link_inverse", {
expect_equal(li, exp(0.2), tolerance = 1e-5)
expect_warning(link_inverse(m1)(0.2))
})
test_that("get_data", {
expect_equal(nrow(get_data(m1, verbose = FALSE)), 9)
expect_equal(colnames(get_data(m1, verbose = FALSE)), c("counts", "outcome", "treatment"))
})
test_that("find_formula", {
expect_length(find_formula(m1), 1)
expect_equal(
find_formula(m1),
list(conditional = as.formula("counts ~ outcome + treatment")),
ignore_attr = TRUE
)
})
test_that("find_terms", {
expect_equal(find_terms(m1), list(
response = "counts",
conditional = c("outcome", "treatment")
))
expect_equal(
find_terms(m1, flatten = TRUE),
c("counts", "outcome", "treatment")
)
})
test_that("n_obs", {
expect_equal(n_obs(m1), 9)
})
test_that("linkfun", {
expect_false(is.null(link_function(m1)))
})
test_that("find_parameters", {
expect_equal(
find_parameters(m1),
list(
conditional = c(
"(Intercept)",
"outcome2",
"outcome3",
"treatment2",
"treatment3"
)
)
)
expect_equal(nrow(get_parameters(m1)), 5)
expect_equal(
get_parameters(m1)$Parameter,
c(
"(Intercept)",
"outcome2",
"outcome3",
"treatment2",
"treatment3"
)
)
})
test_that("is_multivariate", {
expect_false(is_multivariate(m1))
})
test_that("find_statistic", {
expect_identical(find_statistic(m1), "z-statistic")
})
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