skip_if_not_installed("gam")
s <- gam::s
data(kyphosis, package = "rpart")
void <- capture.output(m1 <- gam::gam(
Kyphosis ~ s(Age, 4) + Number,
family = binomial,
data = kyphosis,
trace = TRUE
))
test_that("model_info", {
expect_true(model_info(m1)$is_binomial)
expect_false(model_info(m1)$is_linear)
})
test_that("find_predictors", {
expect_identical(find_predictors(m1), list(conditional = c("Age", "Number")))
expect_identical(find_predictors(m1, flatten = TRUE), c("Age", "Number"))
expect_null(find_predictors(m1, effects = "random"))
})
test_that("find_response", {
expect_identical(find_response(m1), "Kyphosis")
})
test_that("link_inverse", {
expect_equal(link_inverse(m1)(0.2), plogis(0.2), tolerance = 1e-5)
})
test_that("get_data", {
expect_equal(nrow(get_data(m1)), 81)
expect_equal(colnames(get_data(m1)), c("Kyphosis", "Age", "Number"))
})
test_that("find_formula", {
expect_length(find_formula(m1), 1)
expect_equal(
find_formula(m1),
list(conditional = as.formula("Kyphosis ~ s(Age, 4) + Number")),
ignore_attr = TRUE
)
})
test_that("find_terms", {
expect_equal(
find_terms(m1),
list(
response = "Kyphosis",
conditional = c("s(Age, 4)", "Number")
)
)
expect_equal(
find_terms(m1, flatten = TRUE),
c("Kyphosis", "s(Age, 4)", "Number")
)
})
test_that("find_variables", {
expect_equal(
find_variables(m1),
list(
response = "Kyphosis",
conditional = c("Age", "Number")
)
)
expect_equal(
find_variables(m1, flatten = TRUE),
c("Kyphosis", "Age", "Number")
)
})
test_that("n_obs", {
expect_equal(n_obs(m1), 81)
})
test_that("linkfun", {
expect_false(is.null(link_function(m1)))
})
test_that("find_parameters", {
expect_equal(
find_parameters(m1),
list(
conditional = c("(Intercept)", "Number"),
smooth_terms = "s(Age, 4)"
)
)
expect_equal(nrow(get_parameters(m1)), 3)
expect_equal(
get_parameters(m1)$Parameter,
c("(Intercept)", "Number", "s(Age, 4)")
)
})
test_that("is_multivariate", {
expect_false(is_multivariate(m1))
})
test_that("find_algorithm", {
expect_equal(find_algorithm(m1), list(algorithm = "IWLS"))
})
test_that("find_statistic", {
expect_identical(find_statistic(m1), "F-statistic")
})
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