Nothing
skip_on_cran()
skip_on_os(c("mac", "solaris"))
skip_if_not_installed("marginaleffects")
test_that("test_predictions, margin", {
set.seed(123)
d <- rbind(
data.frame(
childcare = sample(c(0, 1), 50, replace = TRUE, prob = c(0.8, 0.2)),
parfam = factor(sample(c("agr", "con", "cd", "lib", "sd", "green", "left", "rr"), 50, replace = TRUE)),
year = sample(1970:2022, 50, replace = TRUE),
countryname = factor(sample(c("Austria", "Belgium", "Finland", "France", "Germany", "UK"), 50, replace = TRUE))
),
data.frame(
childcare = sample(c(0, 1), 50, replace = TRUE, prob = c(0.9, 0.1)),
parfam = factor(sample(c("agr", "con", "cd", "rr"), 50, replace = TRUE)),
year = sample(2000:2022, 50, replace = TRUE),
countryname = factor(sample(c("France", "Germany", "UK"), 50, replace = TRUE))
),
data.frame(
childcare = sample(c(0, 1), 50, replace = TRUE, prob = c(0.5, 0.5)),
parfam = factor(sample(c("lib", "sd", "green", "left"), 50, replace = TRUE)),
year = sample(2000:2022, 50, replace = TRUE),
countryname = factor(sample(c("Austria", "Belgium", "Finland"), 50, replace = TRUE))
)
)
m <- glm(childcare ~ parfam * year + countryname,
data = d,
family = binomial
)
expect_snapshot(print(test_predictions(m, c("parfam [green, lib]", "year [1980, 2020]"))))
expect_snapshot(print(test_predictions(m, c("parfam [green, lib]", "year [1980, 2020]"), margin = "marginalmeans")))
expect_snapshot(print(test_predictions(m, c("parfam [green, lib]", "year [1980, 2020]"), margin = "empirical")))
expect_snapshot(print(test_predictions(m, c("parfam [green, lib]", "year [1980]"))))
expect_snapshot(print(test_predictions(m, c("parfam [green, lib]", "year [1980]"), margin = "marginalmeans")))
expect_snapshot(print(test_predictions(m, c("parfam [green, lib]", "year [1980]"), margin = "empirical")))
expect_snapshot(print(test_predictions(m, c("parfam [green, lib]", "year"))))
expect_snapshot(print(test_predictions(m, c("parfam [green, lib]", "year"), margin = "marginalmeans")))
expect_snapshot(print(test_predictions(m, c("parfam [green, lib]", "year"), margin = "empirical")))
m <- glm(childcare ~ parfam * countryname + year,
data = d,
family = binomial
)
# green Austria, left Belgium
expect_snapshot(suppressWarnings(print(test_predictions(m, c("parfam", "countryname"), margin = "marginalmeans", test = "b4 = b13")))) # nolint
expect_snapshot(suppressWarnings(print(test_predictions(m, c("parfam [green, left]", "countryname [Austria, Belgium]"), margin = "marginalmeans")))) # nolint
# green Austria, left Belgium
expect_snapshot(suppressWarnings(print(test_predictions(m, c("parfam", "countryname"), margin = "empirical", test = "b4 = b13")))) # nolint
expect_snapshot(suppressWarnings(print(test_predictions(m, c("parfam [green, left]", "countryname [Austria, Belgium]"), margin = "empirical")))) # nolint
})
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