.runThisTest <- Sys.getenv("RunAllinsightTests") == "yes"
if (.runThisTest || Sys.getenv("USER") == "travis") {
if (require("testthat") && require("insight") && require("mgcv")) {
set.seed(123)
dat <- gamSim(1, n = 400, dist = "normal", scale = 2)
m1 <- mgcv::gam(y ~ s(x0) + s(x1) + s(x2) + s(x3), data = dat)
m2 <- download_model("gam_zi_1")
m3 <- download_model("gam_mv_1")
test_that("model_info", {
expect_true(model_info(m1)$is_linear)
expect_true(model_info(m2)$is_count)
expect_true(model_info(m3)$is_multivariate)
})
test_that("clean_names", {
expect_equal(clean_names(m1), c("y", "x0", "x1", "x2", "x3"))
expect_equal(clean_names(m2), c("y", "x2", "x3", "x0", "x1"))
expect_equal(clean_names(m3), c("y0", "y1", "x0", "x1", "x2", "x3"))
})
test_that("find_predictors", {
expect_identical(find_predictors(m1), list(conditional = c("x0", "x1", "x2", "x3")))
expect_identical(
find_predictors(m1, flatten = TRUE),
c("x0", "x1", "x2", "x3")
)
expect_null(find_predictors(m1, effects = "random"))
expect_identical(find_predictors(m2), list(conditional = c("x2", "x3"), zero_inflated = c("x0", "x1")))
expect_identical(find_predictors(m2, flatten = TRUE), c("x2", "x3", "x0", "x1"))
expect_null(find_predictors(m2, effects = "random"))
expect_identical(find_predictors(m3), list(y0 = list(conditional = c("x0", "x1")), y1 = list(conditional = c("x2", "x3"))))
expect_identical(find_predictors(m3, flatten = TRUE), c("x0", "x1", "x2", "x3"))
expect_null(find_predictors(m3, effects = "random"))
})
test_that("find_response", {
expect_identical(find_response(m1), "y")
expect_identical(find_response(m2), "y")
expect_identical(find_response(m3), c(y0 = "y0", y1 = "y1"))
})
test_that("get_response", {
expect_equal(get_response(m1), dat$y)
expect_equal(length(get_response(m2)), 500)
expect_equal(ncol(get_response(m3)), 2)
})
test_that("link_inverse", {
expect_equal(link_inverse(m1)(.2), .2, tolerance = 1e-5)
expect_equal(link_inverse(m2)(.2), .2, tolerance = 1e-5)
expect_equal(link_inverse(m3)(.2), .2, tolerance = 1e-5)
})
test_that("get_data", {
expect_equal(nrow(get_data(m1)), 400)
expect_equal(colnames(get_data(m1)), c("y", "x0", "x1", "x2", "x3"))
expect_equal(nrow(get_data(m2)), 500)
expect_equal(colnames(get_data(m2)), c("y", "x2", "x3", "x0", "x1"))
expect_equal(nrow(get_data(m3)), 300)
expect_equal(colnames(get_data(m3)), c("y0", "x0", "x1", "x2", "x3", "y1"))
})
test_that("find_formula", {
expect_length(find_formula(m1), 1)
expect_equal(
find_formula(m1),
list(conditional = as.formula("y ~ s(x0) + s(x1) + s(x2) + s(x3)"))
)
expect_length(find_formula(m2), 2)
expect_equal(
find_formula(m2),
list(
conditional = as.formula("y ~ s(x2) + s(x3)"),
zero_inflated = as.formula("~s(x0) + s(x1)")
)
)
expect_length(find_formula(m3), 2)
expect_equal(
find_formula(m3),
structure(list(
y0 = list(conditional = as.formula("y0 ~ s(x0) + s(x1)")),
y1 = list(conditional = as.formula("y1 ~ s(x2) + s(x3)"))
),
is_mv = "1"
)
)
})
test_that("find_variables", {
expect_equal(find_variables(m1), list(response = "y", conditional = c("x0", "x1", "x2", "x3")))
expect_equal(find_variables(m1, flatten = TRUE), c("y", "x0", "x1", "x2", "x3"))
expect_equal(find_variables(m2), list(response = "y", conditional = c("x2", "x3"), zero_inflated = c("x0", "x1")))
expect_equal(find_variables(m2, flatten = TRUE), c("y", "x2", "x3", "x0", "x1"))
expect_equal(find_variables(m3), list(response = c(y0 = "y0", y1 = "y1"), y0 = list(conditional = c("x0", "x1")), y1 = list(conditional = c("x2", "x3"))))
expect_equal(find_variables(m3, flatten = TRUE), c("y0", "y1", "x0", "x1", "x2", "x3"))
})
test_that("n_obs", {
expect_equal(n_obs(m1), 400)
expect_equal(n_obs(m2), 500)
expect_equal(n_obs(m3), 300)
})
test_that("linkfun", {
expect_false(is.null(link_function(m1)))
})
test_that("find_parameters", {
expect_equal(
find_parameters(m1),
list(
conditional = "(Intercept)",
smooth_terms = c("s(x0)", "s(x1)", "s(x2)", "s(x3)")
)
)
expect_equal(nrow(get_parameters(m1)), 5)
expect_equal(
get_parameters(m1)$Parameter,
c("(Intercept)", "s(x0)", "s(x1)", "s(x2)", "s(x3)")
)
expect_equal(nrow(get_parameters(m1, "smooth_terms")), 4)
expect_equal(
find_parameters(m2),
list(
conditional = c("(Intercept)", "(Intercept).1"),
smooth_terms = c("s(x2)", "s(x3)", "s.1(x0)", "s.1(x1)")
)
)
})
test_that("is_multivariate", {
expect_false(is_multivariate(m1))
expect_false(is_multivariate(m2))
expect_true(is_multivariate(m3))
})
test_that("find_terms", {
expect_equal(
find_terms(m1),
list(
response = "y",
conditional = c("s(x0)", "s(x1)", "s(x2)", "s(x3)")
)
)
expect_equal(
find_terms(m2),
list(
response = "y",
conditional = c("s(x2)", "s(x3)"),
zero_inflated = c("s(x0)", "s(x1)")
)
)
expect_equal(
find_terms(m3),
list(
y0 = list(response = "y0", conditional = c("s(x0)", "s(x1)")),
y1 = list(response = "y1", conditional = c("s(x2)", "s(x3)"))
)
)
})
test_that("find_algorithm", {
expect_equal(
find_algorithm(m1),
list(algorithm = "GCV", optimizer = "magic")
)
})
test_that("find_statistic", {
expect_identical(find_statistic(m1), "t-statistic")
})
}
}
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