suppressWarnings(skip_if_not_installed("glmmTMB"))
skip_if_not_installed("biglm")
data(Salamanders, package = "glmmTMB")
Salamanders$cover <- abs(Salamanders$cover)
m1 <- biglm::bigglm(count ~ mined + log(cover) + sample,
family = poisson(),
data = Salamanders
)
test_that("model_info", {
expect_true(model_info(m1)$is_poisson)
expect_true(model_info(m1)$is_count)
expect_false(model_info(m1)$is_negbin)
expect_false(model_info(m1)$is_binomial)
expect_false(model_info(m1)$is_linear)
})
test_that("find_predictors", {
expect_identical(find_predictors(m1), list(conditional = c("mined", "cover", "sample")))
expect_identical(
find_predictors(m1, flatten = TRUE),
c("mined", "cover", "sample")
)
expect_null(find_predictors(m1, effects = "random"))
})
test_that("find_random", {
expect_null(find_random(m1))
})
test_that("get_random", {
expect_warning(get_random(m1))
})
test_that("get_varcov", {
expect_equal(vcov(m1), get_varcov(m1), tolerance = 1e-3)
})
test_that("find_response", {
expect_identical(find_response(m1), "count")
})
test_that("get_response", {
expect_identical(get_response(m1), Salamanders$count)
})
test_that("get_predictors", {
expect_named(get_predictors(m1), c("mined", "cover", "sample"))
})
test_that("link_inverse", {
expect_equal(link_inverse(m1)(0.2), exp(0.2), tolerance = 1e-5)
})
test_that("get_data", {
expect_identical(nrow(get_data(m1)), 644L)
expect_named(get_data(m1), c("count", "mined", "cover", "sample"))
})
test_that("find_formula", {
expect_length(find_formula(m1), 1)
expect_equal(
find_formula(m1),
list(conditional = as.formula("count ~ mined + log(cover) + sample")),
ignore_attr = TRUE
)
})
test_that("find_variables", {
expect_identical(
find_variables(m1),
list(
response = "count",
conditional = c("mined", "cover", "sample")
)
)
expect_identical(
find_variables(m1, flatten = TRUE),
c("count", "mined", "cover", "sample")
)
})
test_that("n_obs", {
expect_identical(n_obs(m1), 644)
})
test_that("linkfun", {
expect_false(is.null(link_function(m1)))
})
test_that("find_parameters", {
expect_identical(
find_parameters(m1),
list(
conditional = c("(Intercept)", "minedno", "log(cover)", "sample")
)
)
expect_identical(nrow(get_parameters(m1)), 4L)
expect_identical(
get_parameters(m1)$Parameter,
c("(Intercept)", "minedno", "log(cover)", "sample")
)
})
test_that("is_multivariate", {
expect_false(is_multivariate(m1))
})
test_that("find_terms", {
expect_identical(
find_terms(m1),
list(
response = "count",
conditional = c("mined", "log(cover)", "sample")
)
)
})
test_that("find_algorithm", {
expect_identical(find_algorithm(m1), list(algorithm = "ML"))
})
test_that("find_statistic", {
expect_identical(find_statistic(m1), "z-statistic")
})
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