skip_if_not_installed("geepack")
data(warpbreaks)
m1 <- geepack::geeglm(
breaks ~ tension,
id = wool,
data = warpbreaks,
family = poisson,
corstr = "ar1"
)
test_that("model_info", {
expect_true(model_info(m1)$is_count)
expect_false(model_info(m1)$is_linear)
})
test_that("find_predictors", {
expect_identical(find_predictors(m1), list(conditional = "tension"))
expect_identical(find_predictors(m1, flatten = TRUE), "tension")
expect_identical(
find_predictors(m1, effects = "random"),
list(random = "wool")
)
expect_identical(
find_predictors(m1, effects = "all", flatten = TRUE),
c("tension", "wool")
)
})
test_that("find_response", {
expect_identical(find_response(m1), "breaks")
})
test_that("get_varcov", {
out <- get_varcov(m1)
expect_identical(colnames(out), names(coef(m1)))
})
test_that("get_response", {
expect_identical(get_response(m1), warpbreaks$breaks)
})
test_that("find_random", {
expect_identical(find_random(m1), list(random = "wool"))
})
test_that("get_random", {
expect_equal(get_random(m1), warpbreaks[, "wool", drop = FALSE], ignore_attr = TRUE)
})
test_that("get_predictors", {
expect_equal(get_predictors(m1), warpbreaks[, "tension", drop = FALSE], ignore_attr = TRUE)
})
test_that("link_inverse", {
expect_equal(link_inverse(m1)(0.2), exp(0.2), tolerance = 1e-5)
})
test_that("get_data", {
expect_identical(nrow(get_data(m1)), 54L)
expect_named(get_data(m1), c("breaks", "tension", "wool"))
})
test_that("find_formula", {
expect_length(find_formula(m1), 2)
expect_equal(
find_formula(m1),
list(
conditional = as.formula("breaks ~ tension"),
random = as.formula("~wool")
),
ignore_attr = TRUE
)
})
test_that("find_terms", {
expect_identical(
find_terms(m1),
list(
response = "breaks",
conditional = "tension",
random = "wool"
)
)
expect_identical(
find_terms(m1, flatten = TRUE),
c("breaks", "tension", "wool")
)
})
test_that("n_obs", {
expect_identical(n_obs(m1), 54L)
})
test_that("linkfun", {
expect_false(is.null(link_function(m1)))
})
test_that("find_parameters", {
expect_identical(
find_parameters(m1),
list(conditional = c(
"(Intercept)", "tensionM", "tensionH"
))
)
expect_identical(nrow(get_parameters(m1)), 3L)
expect_identical(
get_parameters(m1)$Parameter,
c("(Intercept)", "tensionM", "tensionH")
)
})
test_that("is_multivariate", {
expect_false(is_multivariate(m1))
})
test_that("find_algorithm", {
expect_identical(find_algorithm(m1), list(algorithm = "ML"))
})
test_that("find_statistic", {
expect_identical(find_statistic(m1), "chi-squared statistic")
})
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