skip_if_not_installed("gee")
data(warpbreaks)
void <- capture.output(suppressMessages({
m1 <- gee::gee(breaks ~ tension, id = wool, data = warpbreaks)
}))
set.seed(123)
n <- 600
dat <- data.frame(
depression = rbinom(n, 1, prob = 0.15),
drug = rbinom(n, 1, prob = 0.5),
time = rep(1:3, n / 3),
id = rep(1:200, each = 3)
)
# test for #770
junk <- capture.output({
dep_gee <- suppressMessages(gee::gee(depression ~ drug * time,
data = dat,
id = id,
family = binomial,
corstr = "independence"
))
})
test_that("model_info", {
expect_true(model_info(m1)$is_linear)
expect_true(model_info(dep_gee)$is_binomial)
expect_true(model_info(dep_gee)$is_bernoulli)
})
test_that("find_predictors", {
expect_identical(find_predictors(m1), list(conditional = "tension"))
expect_identical(find_predictors(m1, flatten = TRUE), "tension")
expect_identical(
find_predictors(m1, effects = "random"),
list(random = "wool")
)
expect_identical(
find_predictors(m1, effects = "all", flatten = TRUE),
c("tension", "wool")
)
})
test_that("find_response", {
expect_identical(find_response(m1), "breaks")
})
test_that("get_response", {
expect_equal(get_response(m1), warpbreaks$breaks, ignore_attr = TRUE)
})
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], tolerance = 1e-4)
})
test_that("link_inverse", {
expect_equal(link_inverse(m1)(0.2), 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), "z-statistic")
})
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.