.runThisTest <- Sys.getenv("RunAllinsightTests") == "yes"
if (.runThisTest && Sys.getenv("USER") != "travis") {
if (requiet("aod")) {
data(dja)
m1 <- suppressWarnings(
aod::negbin(y ~ group + offset(log(trisk)),
random = ~village,
data = dja
)
)
test_that("model_info", {
expect_true(model_info(m1)$is_negbin)
expect_true(model_info(m1)$is_mixed)
expect_false(model_info(m1)$is_linear)
})
test_that("find_predictors", {
expect_identical(find_predictors(m1), list(conditional = c("group", "trisk")))
expect_identical(find_predictors(m1, flatten = TRUE), c("group", "trisk"))
expect_identical(
find_predictors(m1, effects = "random"),
list(random = "village")
)
expect_identical(
find_predictors(m1, effects = "all"),
list(
conditional = c("group", "trisk"),
random = "village"
)
)
})
test_that("get_df", {
expect_equal(
get_df(m1, type = "residual"),
df.residual(m1),
ignore_attr = TRUE
)
expect_equal(
get_df(m1, type = "normal"),
Inf,
ignore_attr = TRUE
)
expect_equal(
get_df(m1, type = "wald"),
Inf,
ignore_attr = TRUE
)
})
test_that("find_random", {
expect_identical(find_random(m1), list(random = "village"))
})
test_that("get_random", {
expect_equal(get_random(m1), dja[, "village", drop = FALSE], ignore_attr = TRUE)
})
test_that("find_response", {
expect_identical(find_response(m1), "y")
expect_identical(find_response(m1, combine = FALSE), "y")
})
test_that("get_response", {
expect_equal(get_response(m1), dja[, "y"])
})
test_that("get_predictors", {
expect_equal(colnames(get_predictors(m1)), c("group", "trisk"))
})
test_that("link_inverse", {
expect_equal(link_inverse(m1)(0.2), exp(0.2), tolerance = 1e-5)
})
test_that("link_function", {
expect_equal(link_function(m1)(0.2), log(0.2), tolerance = 1e-5)
})
test_that("get_data", {
expect_equal(nrow(get_data(m1, verbose = FALSE)), 75)
expect_equal(colnames(get_data(m1, verbose = FALSE)), c("y", "group", "trisk", "village"))
})
test_that("find_formula", {
expect_length(find_formula(m1), 2)
expect_equal(
find_formula(m1),
list(
conditional = as.formula("y ~ group + offset(log(trisk))"),
random = as.formula("~village")
),
ignore_attr = TRUE
)
})
test_that("find_variables", {
expect_equal(
find_variables(m1),
list(
response = "y",
conditional = c("group", "trisk"),
random = "village"
)
)
expect_equal(
find_variables(m1, flatten = TRUE),
c("y", "group", "trisk", "village")
)
})
test_that("n_obs", {
expect_equal(n_obs(m1), 75)
})
test_that("find_parameters", {
expect_equal(
find_parameters(m1),
list(
conditional = c("(Intercept)", "groupTREAT"),
random = c(
"phi.villageBAK",
"phi.villageBAM",
"phi.villageBAN",
"phi.villageBIJ",
"phi.villageBOU",
"phi.villageBYD",
"phi.villageDEM",
"phi.villageDIA",
"phi.villageHAM",
"phi.villageLAM",
"phi.villageLAY",
"phi.villageMAF",
"phi.villageMAH",
"phi.villageMAK",
"phi.villageMED",
"phi.villageNAB",
"phi.villageSAG",
"phi.villageSAM",
"phi.villageSOU"
)
)
)
expect_equal(nrow(get_parameters(m1)), 2)
expect_equal(
get_parameters(m1)$Parameter,
c("(Intercept)", "groupTREAT")
)
})
test_that("is_multivariate", {
expect_false(is_multivariate(m1))
})
test_that("find_terms", {
expect_equal(
find_terms(m1),
list(
response = "y",
conditional = c("group", "offset(log(trisk))"),
random = "village"
)
)
})
test_that("find_algorithm", {
expect_equal(find_algorithm(m1), list(algorithm = "ML"))
})
test_that("find_statistic", {
expect_identical(find_statistic(m1), "z-statistic")
})
}
}
Generated by dwww version 1.15 on Wed May 22 15:53:47 CEST 2024.