if (require("testthat") &&
require("insight") &&
require("fixest")) {
data(trade)
m1 <- femlm(Euros ~ log(dist_km) | Origin + Destination + Product, data = trade)
m2 <- femlm(log1p(Euros) ~ log(dist_km) | Origin + Destination + Product, data = trade, family = "gaussian")
m3 <- feglm(Euros ~ log(dist_km) | Origin + Destination + Product, data = trade)
test_that("model_info", {
expect_true(model_info(m1)$is_count)
expect_true(model_info(m2)$is_linear)
expect_true(model_info(m3)$is_count)
})
test_that("find_predictors", {
expect_identical(find_predictors(m1), list(conditional = "dist_km", cluster = c("Origin", "Destination", "Product")))
expect_identical(find_predictors(m2), list(conditional = "dist_km", cluster = c("Origin", "Destination", "Product")))
expect_identical(find_predictors(m3), list(conditional = "dist_km", cluster = c("Origin", "Destination", "Product")))
expect_identical(
find_predictors(m1, component = "all"),
list(conditional = "dist_km", cluster = c("Origin", "Destination", "Product"))
)
expect_identical(
find_predictors(m2, component = "all"),
list(conditional = "dist_km", cluster = c("Origin", "Destination", "Product"))
)
expect_identical(
find_predictors(m3, component = "all"),
list(conditional = "dist_km", cluster = c("Origin", "Destination", "Product"))
)
})
test_that("find_random", {
expect_null(find_random(m1))
expect_null(find_random(m2))
expect_null(find_random(m3))
})
test_that("get_random", {
expect_null(expect_warning(get_random(m1)))
})
test_that("find_response", {
expect_identical(find_response(m1), "Euros")
expect_identical(find_response(m2), "Euros")
expect_identical(find_response(m3), "Euros")
})
test_that("get_response", {
expect_equal(get_response(m1), trade$Euros)
expect_equal(get_response(m2), trade$Euros)
expect_equal(get_response(m3), trade$Euros)
})
test_that("get_predictors", {
expect_equal(colnames(get_predictors(m1)), c("dist_km", "Origin", "Destination", "Product"))
expect_equal(colnames(get_predictors(m2)), c("dist_km", "Origin", "Destination", "Product"))
expect_equal(colnames(get_predictors(m3)), c("dist_km", "Origin", "Destination", "Product"))
})
test_that("link_inverse", {
expect_equal(link_inverse(m1)(.2), exp(.2), tolerance = 1e-4)
expect_equal(link_inverse(m2)(.2), .2, tolerance = 1e-4)
expect_equal(link_inverse(m3)(.2), exp(.2), tolerance = 1e-4)
})
test_that("link_function", {
expect_equal(link_function(m1)(.2), log(.2), tolerance = 1e-4)
expect_equal(link_function(m2)(.2), .2, tolerance = 1e-4)
expect_equal(link_function(m3)(.2), log(.2), tolerance = 1e-4)
})
test_that("get_data", {
expect_equal(nrow(get_data(m1)), 38325)
expect_equal(colnames(get_data(m1)), c("Euros", "dist_km", "Origin", "Destination", "Product"))
expect_equal(nrow(get_data(m2)), 38325)
expect_equal(colnames(get_data(m2)), c("Euros", "dist_km", "Origin", "Destination", "Product"))
})
test_that("find_formula", {
expect_length(find_formula(m1), 2)
expect_equal(
find_formula(m1),
list(
conditional = as.formula("Euros ~ log(dist_km)"),
cluster = as.formula("~Origin + Destination + Product")
)
)
expect_length(find_formula(m2), 2)
expect_equal(
find_formula(m2),
list(
conditional = as.formula("log1p(Euros) ~ log(dist_km)"),
cluster = as.formula("~Origin + Destination + Product")
)
)
})
test_that("find_terms", {
expect_equal(
find_terms(m1),
list(response = "Euros", conditional = "log(dist_km)", cluster = c("Origin", "Destination", "Product"))
)
expect_equal(
find_terms(m1, flatten = TRUE),
c("Euros", "log(dist_km)", "Origin", "Destination", "Product")
)
expect_equal(
find_terms(m2),
list(response = "log1p(Euros)", conditional = "log(dist_km)", cluster = c("Origin", "Destination", "Product"))
)
expect_equal(
find_terms(m2, flatten = TRUE),
c("log1p(Euros)", "log(dist_km)", "Origin", "Destination", "Product")
)
})
test_that("find_variables", {
expect_equal(
find_variables(m1),
list(response = "Euros", conditional = "dist_km", cluster = c("Origin", "Destination", "Product"))
)
expect_equal(
find_variables(m1, flatten = TRUE),
c("Euros", "dist_km", "Origin", "Destination", "Product")
)
expect_equal(
find_variables(m2),
list(response = "Euros", conditional = "dist_km", cluster = c("Origin", "Destination", "Product"))
)
expect_equal(
find_variables(m1, flatten = TRUE),
c("Euros", "dist_km", "Origin", "Destination", "Product")
)
})
test_that("n_obs", {
expect_equal(n_obs(m1), 38325)
expect_equal(n_obs(m2), 38325)
})
test_that("find_parameters", {
expect_equal(
find_parameters(m1),
list(conditional = "log(dist_km)")
)
expect_equal(
get_parameters(m1),
data.frame(
Parameter = "log(dist_km)",
Estimate = -1.52774702640008,
row.names = NULL,
stringsAsFactors = FALSE
),
tolerance = 1e-4
)
expect_equal(
find_parameters(m2),
list(conditional = "log(dist_km)")
)
expect_equal(
get_parameters(m2),
data.frame(
Parameter = "log(dist_km)",
Estimate = -2.16843021944503,
row.names = NULL,
stringsAsFactors = FALSE
),
tolerance = 1e-4
)
})
test_that("is_multivariate", {
expect_false(is_multivariate(m1))
})
test_that("find_statistic", {
expect_identical(find_statistic(m1), "z-statistic")
expect_identical(find_statistic(m2), "z-statistic")
})
test_that("get_statistic", {
stat <- get_statistic(m1)
expect_equal(stat$Statistic, -13.212695, tolerance = 1e-3)
stat <- get_statistic(m2)
expect_equal(stat$Statistic, -14.065336, tolerance = 1e-3)
})
}
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