skip_on_cran()
skip_on_os(c("mac", "solaris"))
skip_if_not_installed("ordinal")
skip_if_not_installed("MASS")
skip_if_not_installed("emmeans")
skip_if_not_installed("effects")
skip_if_not_installed("withr")
withr::with_package(
"MASS",
test_that("ggpredict, ordinal", {
data(wine, package = "ordinal")
m1 <- ordinal::clm(rating ~ temp * contact, data = wine)
# ggpredict
p <- ggpredict(m1, "temp")
expect_equal(p$predicted[1], 0.1960351, tolerance = 1e-3)
expect_equal(p$conf.low[1], 0.0772626, tolerance = 1e-3)
expect_equal(p$conf.high[1], 0.41522921, tolerance = 1e-3)
p2 <- ggpredict(m1, c("temp", "contact"))
expect_snapshot(print(p))
expect_snapshot(print(p2))
# ggeffect
p <- ggeffect(m1, "temp")
expect_equal(p$predicted[1], 0.110564082334497, tolerance = 1e-3)
ggeffect(m1, c("temp", "contact"))
# ggemmeans
p <- ggemmeans(m1, "contact")
expect_equal(p$predicted[1], 0.1097049, tolerance = 1e-3)
ggemmeans(m1, c("temp", "contact"))
# predict_response, empirical
p <- predict_response(m1, "contact", margin = "average")
expect_equal(p$predicted[1], 0.1097049, tolerance = 1e-3)
p <- predict_response(m1, c("temp", "contact"), margin = "average")
expect_named(p, c(
"x", "predicted", "std.error", "conf.low", "conf.high", "response.level",
"group"
))
expect_identical(dim(p), c(20L, 7L))
})
)
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