skip_if_not_installed("speedglm")
data(iris)
data(mtcars)
m1 <- speedglm::speedlm(Sepal.Length ~ Petal.Width + Species, data = iris)
m2 <- speedglm::speedlm(log(mpg) ~ log(hp) + cyl + I(cyl^2) + poly(wt, degree = 2, raw = TRUE),
data = mtcars
)
test_that("model_info", {
expect_true(model_info(m1)$is_linear)
})
test_that("find_predictors", {
expect_identical(find_predictors(m1), list(conditional = c("Petal.Width", "Species")))
expect_identical(
find_predictors(m1, flatten = TRUE),
c("Petal.Width", "Species")
)
expect_null(find_predictors(m1, effects = "random"))
})
test_that("find_random", {
expect_null(find_random(m1))
})
test_that("get_random", {
expect_warning(get_random(m1))
})
test_that("find_response", {
expect_identical(find_response(m1), "Sepal.Length")
})
test_that("get_response", {
expect_equal(get_response(m1), iris$Sepal.Length, ignore_attr = TRUE)
})
test_that("get_predictors", {
expect_identical(colnames(get_predictors(m1)), c("Petal.Width", "Species"))
})
test_that("link_inverse", {
expect_equal(link_inverse(m1)(0.2), 0.2, tolerance = 1e-5)
})
test_that("linkfun", {
expect_equal(link_function(m1)(0.2), 0.2, tolerance = 1e-5)
})
test_that("get_data", {
expect_equal(nrow(get_data(m1)), 150)
expect_identical(
colnames(get_data(m1)),
c("Sepal.Length", "Petal.Width", "Species")
)
expect_identical(colnames(get_data(m2)), c("mpg", "hp", "cyl", "wt"))
})
test_that("find_formula", {
expect_length(find_formula(m1), 1)
expect_equal(
find_formula(m1),
list(conditional = as.formula("Sepal.Length ~ Petal.Width + Species")),
ignore_attr = TRUE
)
expect_equal(
find_formula(m2),
list(
conditional = as.formula(
"log(mpg) ~ log(hp) + cyl + I(cyl^2) + poly(wt, degree = 2, raw = TRUE)"
)
),
ignore_attr = TRUE
)
})
test_that("find_variables", {
expect_identical(
find_variables(m1),
list(
response = "Sepal.Length",
conditional = c("Petal.Width", "Species")
)
)
expect_identical(
find_variables(m1, flatten = TRUE),
c("Sepal.Length", "Petal.Width", "Species")
)
expect_identical(
find_variables(m2, flatten = TRUE),
c("mpg", "hp", "cyl", "wt")
)
})
test_that("n_obs", {
expect_equal(n_obs(m1), 150)
expect_equal(n_obs(m2), 32)
})
test_that("find_parameters", {
expect_identical(
find_parameters(m1),
list(
conditional = c(
"(Intercept)",
"Petal.Width",
"Speciesversicolor",
"Speciesvirginica"
)
)
)
expect_identical(
find_parameters(m2),
list(
conditional = c(
"(Intercept)",
"log(hp)",
"cyl",
"I(cyl^2)",
"poly(wt, degree = 2, raw = TRUE)1",
"poly(wt, degree = 2, raw = TRUE)2"
)
)
)
expect_equal(nrow(get_parameters(m1)), 4)
expect_identical(
get_parameters(m1)$Parameter,
c(
"(Intercept)",
"Petal.Width",
"Speciesversicolor",
"Speciesvirginica"
)
)
})
test_that("is_multivariate", {
expect_false(is_multivariate(m1))
})
test_that("find_terms", {
expect_identical(
find_terms(m1),
list(
response = "Sepal.Length",
conditional = c("Petal.Width", "Species")
)
)
expect_identical(
find_terms(m2),
list(
response = "log(mpg)",
conditional = c(
"log(hp)",
"cyl",
"I(cyl^2)",
"poly(wt, degree = 2, raw = TRUE)"
)
)
)
})
test_that("find_algorithm", {
expect_identical(find_algorithm(m1), list(algorithm = "eigen"))
})
test_that("find_statistic", {
expect_identical(find_statistic(m1), "t-statistic")
expect_identical(find_statistic(m2), "t-statistic")
})
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