if (require("testthat") &&
require("insight") &&
require("cplm")) {
data("FineRoot")
m1 <- cpglmm(RLD ~ Stock + Spacing + (1 | Plant), data = FineRoot)
test_that("model_info", {
expect_true(model_info(m1)$is_count)
})
test_that("find_predictors", {
expect_equal(
find_predictors(m1, effects = "all"),
list(conditional = c("Stock", "Spacing"), random = "Plant")
)
expect_equal(
find_predictors(m1, effects = "all", flatten = TRUE),
c("Stock", "Spacing", "Plant")
)
expect_equal(
find_predictors(m1, effects = "fixed"),
list(conditional = c("Stock", "Spacing"))
)
expect_equal(
find_predictors(m1, effects = "fixed", flatten = TRUE),
c("Stock", "Spacing")
)
expect_equal(
find_predictors(m1, effects = "random"),
list(random = "Plant")
)
expect_equal(
find_predictors(m1, effects = "random", flatten = TRUE),
"Plant"
)
})
test_that("find_random", {
expect_equal(find_random(m1), list(random = "Plant"))
expect_equal(find_random(m1, flatten = TRUE), "Plant")
})
test_that("find_response", {
expect_identical(find_response(m1), "RLD")
})
test_that("get_response", {
expect_equal(get_response(m1), FineRoot$RLD)
})
test_that("get_data", {
expect_equal(colnames(get_data(m1)), c("RLD", "Stock", "Spacing", "Plant"))
expect_equal(colnames(get_data(m1, effects = "all")), c("RLD", "Stock", "Spacing", "Plant"))
expect_equal(colnames(get_data(m1, effects = "random")), "Plant")
})
test_that("find_formula", {
expect_length(find_formula(m1), 2)
expect_equal(
find_formula(m1, component = "conditional"),
list(
conditional = as.formula("RLD ~ Stock + Spacing"),
random = as.formula("~1 | Plant")
)
)
})
test_that("find_terms", {
expect_identical(
find_terms(m1),
list(
response = "RLD",
conditional = c("Stock", "Spacing"),
random = "Plant"
)
)
expect_identical(
find_terms(m1, flatten = TRUE),
c("RLD", "Stock", "Spacing", "Plant")
)
})
test_that("link_function", {
expect_equal(link_function(m1)(.2), log(.2), tolerance = 1e-3)
})
test_that("link_inverse", {
expect_equal(link_inverse(m1)(.2), exp(.2), tolerance = 1e-3)
})
test_that("find_variables", {
expect_identical(
find_variables(m1),
list(
response = "RLD",
conditional = c("Stock", "Spacing"),
random = "Plant"
)
)
expect_identical(
find_variables(m1, flatten = TRUE),
c("RLD", "Stock", "Spacing", "Plant")
)
})
test_that("get_predictors", {
expect_identical(colnames(get_predictors(m1)), c("Stock", "Spacing"))
})
test_that("get_random", {
expect_identical(colnames(get_random(m1)), "Plant")
})
test_that("clean_names", {
expect_identical(clean_names(m1), c("RLD", "Stock", "Spacing", "Plant"))
})
test_that("find_parameters", {
expect_equal(
find_parameters(m1),
list(
conditional = c("(Intercept)", "StockMM106", "StockMark", "Spacing5x3"),
random = list(Plant = c("(Intercept)"))
)
)
expect_equal(nrow(get_parameters(m1)), 4)
expect_equal(get_parameters(m1)$Parameter, c("(Intercept)", "StockMM106", "StockMark", "Spacing5x3"))
})
test_that("is_multivariate", {
expect_false(is_multivariate(m1))
})
test_that("get_variance", {
skip_on_cran()
skip_on_travis()
expect_equal(
get_variance(m1),
list(
var.fixed = 0.1687617,
var.random = 0.0002706301,
var.residual = 2.763129,
var.distribution = 2.763129,
var.dispersion = 0,
var.intercept = c(Plant = 0.0002706301)
),
tolerance = 1e-3
)
})
test_that("find_random_slopes", {
expect_null(find_random_slopes(m1))
})
test_that("find_statistic", {
expect_identical(find_statistic(m1), "t-statistic")
})
}
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