if (requiet("survey")) {
data(api)
dstrat <-
svydesign(
id = ~1,
strata = ~stype,
weights = ~pw,
data = apistrat,
fpc = ~fpc
)
m1 <- svyglm(api00 ~ ell + meals + mobility, design = dstrat)
test_that("model_info", {
expect_true(model_info(m1)$is_linear)
})
test_that("find_predictors", {
expect_identical(find_predictors(m1), list(conditional = c("ell", "meals", "mobility")))
expect_null(find_predictors(m1, effects = "random"))
})
test_that("find_response", {
expect_identical(find_response(m1), "api00")
})
test_that("get_response", {
expect_equal(get_response(m1), apistrat$api00)
})
test_that("link_inverse", {
expect_equal(link_inverse(m1)(0.2), 0.2, tolerance = 1e-5)
})
test_that("get_data", {
expect_equal(nrow(get_data(m1, verbose = FALSE)), 200)
expect_equal(
colnames(get_data(m1, verbose = FALSE)),
c("api00", "ell", "meals", "mobility", "(weights)")
)
})
test_that("find_formula", {
expect_length(find_formula(m1), 1)
expect_equal(
find_formula(m1),
list(conditional = as.formula("api00 ~ ell + meals + mobility")),
ignore_attr = TRUE
)
})
test_that("find_terms", {
expect_equal(find_terms(m1), list(
response = "api00",
conditional = c("ell", "meals", "mobility")
))
expect_equal(
find_terms(m1, flatten = TRUE),
c("api00", "ell", "meals", "mobility")
)
})
test_that("n_obs", {
expect_equal(n_obs(m1), 200)
})
test_that("linkfun", {
expect_false(is.null(link_function(m1)))
})
test_that("find_parameters", {
expect_equal(
find_parameters(m1),
list(conditional = c(
"(Intercept)", "ell", "meals", "mobility"
))
)
expect_equal(nrow(get_parameters(m1)), 4)
expect_equal(
get_parameters(m1)$Parameter,
c("(Intercept)", "ell", "meals", "mobility")
)
})
test_that("find_statistic", {
expect_identical(find_statistic(m1), "t-statistic")
})
}
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