Nothing
# set up example ----------------------------------------------------------
data01 <- trial01 |>
transform(trtp = as.factor(trtp)) |>
dplyr::filter(!is.na(aval))
fit1 <- glm(aval ~ trtp + bl_cov, family = "binomial", data = data01) |>
get_marginal_effect(trt = "trtp", method = "Ye", contrast = "diff", reference = "0")
# 3-arm example
data02 <- trial02_cdisc |>
transform(TRTPN = as.factor(TRTPN))
fit_3arm <- glm(AVAL ~ TRTPN + SEX, family = "binomial", data = data02) |>
get_marginal_effect(trt = "TRTPN", method = "Ye", contrast = "diff", reference = "1")
# test warnings/errors ------------------------------------------------------------
test_that("Correctly throwing errors on missing argument", {
expect_error(
glm(aval ~ trtp + bl_cov, family = "binomial", data = data01) |>
get_marginal_effect(method = "Ye"))
})
test_that("Correctly throwing errors on argument mismatch", {
expect_error(
glm(aval ~ trtp + bl_cov, family = "binomial", data = data01) |>
get_marginal_effect(trt = "trtp", method = "Fe"))
})
test_that("Correctly throwing warnings on missing value", {
expect_warning(
glm(aval ~ trtp + bl_cov, family = "binomial", data = trial01 |>
transform(trtp = as.factor(trtp))) |>
get_marginal_effect(trt = "trtp", method = "Ye", reference = "0"),
"There is 1 record omitted from the original data due to missing values, please check if they should be imputed prior to model fitting."
)
})
# test results ------------------------------------------------------------
test_that("Correctly producing results in ARD format", {
expect_equal(dim(fit1$marginal_results), c(12, 8))
})
test_that("Correctly producing results", {
expect_false(any(is.na(fit1$marginal_results)))
})
test_that("3-arm: Correctly producing results in ARD format", {
expect_equal(dim(fit_3arm$marginal_results), c(19, 8))
})
test_that("3-arm: Correctly producing results", {
expect_false(any(is.na(fit_3arm$marginal_results)))
})
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