skip_if_not_installed("betareg")
data("GasolineYield", package = "betareg")
data("FoodExpenditure", package = "betareg")
m1 <- betareg::betareg(yield ~ batch + temp, data = GasolineYield)
m2 <- betareg::betareg(I(food / income) ~ income + persons, data = FoodExpenditure)
test_that("model_info", {
expect_true(model_info(m1)$is_beta)
expect_false(model_info(m1)$is_linear)
})
test_that("find_predictors", {
expect_identical(find_predictors(m1), list(conditional = c("batch", "temp")))
expect_identical(find_predictors(m1, flatten = TRUE), c("batch", "temp"))
expect_null(find_predictors(m1, effects = "random"))
})
test_that("find_response", {
expect_identical(find_response(m1), "yield")
expect_identical(find_response(m2), "I(food/income)")
expect_identical(find_response(m2, combine = FALSE), c("food", "income"))
})
test_that("get_response", {
expect_identical(get_response(m1), GasolineYield$yield)
expect_identical(get_response(m2), FoodExpenditure[, c("food", "income")])
})
test_that("get_varcov", {
expect_equal(get_varcov(m1, component = "all"), vcov(m1), tolerance = 1e-3)
expect_equal(get_varcov(m1), vcov(m1)[-12, -12], tolerance = 1e-3)
})
test_that("link_inverse", {
expect_identical(link_inverse(m1)(0.2), plogis(0.2))
})
test_that("get_data", {
expect_identical(nrow(get_data(m1)), 32L)
expect_named(get_data(m1), c("yield", "batch", "temp"))
expect_identical(nrow(get_data(m2)), 38L)
expect_named(get_data(m2), c("food", "income", "persons"))
})
test_that("find_formula", {
expect_length(find_formula(m1), 1)
expect_equal(
find_formula(m1),
list(conditional = as.formula("yield ~ batch + temp")),
ignore_attr = TRUE
)
expect_equal(
find_formula(m2),
list(conditional = as.formula("I(food/income) ~ income + persons")),
ignore_attr = TRUE
)
})
test_that("find_variables", {
expect_identical(
find_variables(m1),
list(
response = "yield",
conditional = c("batch", "temp")
)
)
expect_identical(
find_variables(m1, flatten = TRUE),
c("yield", "batch", "temp")
)
expect_identical(
find_variables(m2, flatten = TRUE),
c("food", "income", "persons")
)
})
test_that("n_obs", {
expect_equal(n_obs(m1), 32, ignore_attr = TRUE)
})
test_that("is_multivariate", {
expect_false(is_multivariate(m1))
})
test_that("linkfun", {
expect_false(is.null(link_function(m1)))
})
test_that("find_parameters", {
expect_identical(
find_parameters(m1),
list(
conditional = c(
"(Intercept)",
"batch1",
"batch2",
"batch3",
"batch4",
"batch5",
"batch6",
"batch7",
"batch8",
"batch9",
"temp"
),
precision = "(phi)"
)
)
expect_identical(nrow(get_parameters(m1)), 12L)
expect_identical(
get_parameters(m1)$Parameter,
c(
"(Intercept)",
"batch1",
"batch2",
"batch3",
"batch4",
"batch5",
"batch6",
"batch7",
"batch8",
"batch9",
"temp",
"(phi)"
)
)
})
test_that("find_terms", {
expect_identical(
find_terms(m2),
list(
response = "I(food/income)",
conditional = c("income", "persons")
)
)
})
test_that("find_statistic", {
expect_identical(find_statistic(m1), "z-statistic")
expect_identical(find_statistic(m2), "z-statistic")
})
test_that("get_modelmatrix", {
mm <- get_modelmatrix(m1)
expect_true(is.matrix(mm))
expect_identical(dim(mm), c(32L, 11L))
mm <- get_modelmatrix(m1, data = head(GasolineYield))
expect_true(is.matrix(mm))
expect_identical(dim(mm), c(6L, 11L))
})
skip_if_not_installed("withr")
withr::with_environment(
new.env(),
test_that("get_predicted", {
data("GasolineYield", package = "betareg")
data("FoodExpenditure", package = "betareg")
mp1 <- betareg::betareg(yield ~ batch + temp, data = GasolineYield)
mp2 <- betareg::betareg(I(food / income) ~ income + persons, data = FoodExpenditure)
p <- suppressWarnings(get_predicted(mp1))
expect_s3_class(p, "get_predicted")
expect_length(p, 32)
p <- suppressWarnings(get_predicted(mp1, data = head(GasolineYield)))
expect_s3_class(p, "get_predicted")
expect_length(p, 6)
# delta method does not work, so we omit SE and issue warning
# expect_warning(get_predicted(mp2, predict = "expectation"))
expect_warning(get_predicted(mp2, predict = "link"), NA)
p1 <- suppressWarnings(get_predicted(mp2, predict = "expectation", ci = 0.95))
p2 <- get_predicted(mp2, predict = "link", ci = 0.95)
p1 <- data.frame(p1)
p2 <- data.frame(p2)
# expect_false("SE" %in% colnames(p1))
expect_true("SE" %in% colnames(p2))
})
)
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