skip_if_not_installed("nlme")
data(Ovary, package = "nlme")
m1 <- nlme::gls(follicles ~ sin(2 * pi * Time) + cos(2 * pi * Time),
Ovary,
correlation = nlme::corAR1(form = ~ 1 | Mare)
)
cr <<- nlme::corAR1(form = ~ 1 | Mare)
m2 <- nlme::gls(follicles ~ sin(2 * pi * Time) + cos(2 * pi * Time), Ovary,
correlation = cr
)
set.seed(123)
d <- Ovary
d$x1 <- runif(nrow(d))
d$x2 <- sample(1:10, size = nrow(d), replace = TRUE)
m3 <- nlme::gls(follicles ~ Time + x1 + x2,
d,
correlation = nlme::corAR1(form = ~ 1 | Mare)
)
test_that("model_info", {
expect_true(model_info(m1)$is_linear)
})
test_that("find_predictors", {
expect_identical(
find_predictors(m1),
list(conditional = "Time", correlation = "Mare")
)
expect_identical(find_predictors(m1, flatten = TRUE), c("Time", "Mare"))
expect_null(find_predictors(m1, effects = "random"))
})
test_that("find_response", {
expect_identical(find_response(m1), "follicles")
})
test_that("link_inverse", {
expect_equal(link_inverse(m1)(0.2), 0.2, tolerance = 1e-5)
})
test_that("get_data", {
expect_equal(nrow(get_data(m1)), 308)
expect_equal(colnames(get_data(m1)), c("follicles", "Time", "Mare"))
})
test_that("get_df", {
expect_equal(get_df(m1, type = "residual"), 305, ignore_attr = TRUE)
expect_equal(get_df(m1, type = "normal"), Inf, ignore_attr = TRUE)
expect_equal(get_df(m1, type = "wald"), 305, ignore_attr = TRUE)
expect_equal(get_df(m3, type = "residual"), 304, ignore_attr = TRUE)
expect_equal(get_df(m3, type = "normal"), Inf, ignore_attr = TRUE)
expect_equal(get_df(m3, type = "wald"), 304, ignore_attr = TRUE)
})
test_that("find_formula", {
expect_length(find_formula(m1), 2)
expect_equal(
find_formula(m1),
list(
conditional = as.formula("follicles ~ sin(2 * pi * Time) + cos(2 * pi * Time)"),
correlation = as.formula("~1 | Mare")
),
ignore_attr = TRUE
)
expect_equal(
find_formula(m2),
list(
conditional = as.formula("follicles ~ sin(2 * pi * Time) + cos(2 * pi * Time)"),
correlation = as.formula("~1 | Mare")
),
ignore_attr = TRUE
)
})
test_that("find_terms", {
expect_equal(
find_terms(m1),
list(
response = "follicles",
conditional = c("sin(2 * pi * Time)", "cos(2 * pi * Time)"),
correlation = c("1", "Mare")
)
)
expect_equal(
find_terms(m1, flatten = TRUE),
c(
"follicles",
"sin(2 * pi * Time)",
"cos(2 * pi * Time)",
"1",
"Mare"
)
)
})
test_that("find_variables", {
expect_equal(
find_variables(m1),
list(
response = "follicles",
conditional = "Time",
correlation = "Mare"
)
)
expect_equal(
find_variables(m1, flatten = TRUE),
c("follicles", "Time", "Mare")
)
})
test_that("n_obs", {
expect_equal(n_obs(m1), 308)
})
test_that("linkfun", {
expect_false(is.null(link_function(m1)))
})
test_that("find_parameters", {
expect_equal(
find_parameters(m1),
list(
conditional = c("(Intercept)", "sin(2 * pi * Time)", "cos(2 * pi * Time)")
)
)
expect_equal(nrow(get_parameters(m1)), 3)
expect_equal(
get_parameters(m1)$Parameter,
c("(Intercept)", "sin(2 * pi * Time)", "cos(2 * pi * Time)")
)
})
test_that("is_multivariate", {
expect_false(is_multivariate(m1))
})
test_that("find_statistic", {
expect_identical(find_statistic(m1), "t-statistic")
})
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