Nothing
context("test adjusted alpha for Farrington-Manning test")
test_that("errors are defined correctly", {
d1 <- setupFarringtonManning(alpha = 0.025, beta = 0.2, r = 2,
delta = 0, delta_NI = 0.1)
expect_error(adjusted_alpha(d1, n1 = 30, nuisance = 1.01, TRUE))
d2 <- setupFarringtonManning(alpha = 0.025, beta = 0.2, r = 2,
delta = 0, delta_NI = 0.1, n_max = 301)
expect_error(adjusted_alpha(d2, 21, 0.5, TRUE, "exact"))
d2@n_max <- 300
expect_error(adjusted_alpha(d2, 20, 0.5, TRUE, "exact"))
})
test_that("adjusted alpha works for recalculation", {
d <- setupFarringtonManning(alpha = 0.025, beta = 0.2, r = 1,
delta = 0, delta_NI = 0.1, n_max = 300)
expect_lte(adjusted_alpha(d, n1 = 20, nuisance = 0.5, recalculation = TRUE), d@alpha)
})
test_that("adjusted alpha works without recalculation", {
d <- setupFarringtonManning(alpha = 0.025, beta = 0.2, r = 1,
delta = 0, delta_NI = 0.1, n_max = 300)
n <- n_fix(d, 0.5)
expect_lte(
adjusted_alpha(d, n1 = n/2, nuisance = 0.5, nuis_ass = 0.5, recalculation = FALSE, allocation = "exact"),
d@alpha
)
expect_lte(
adjusted_alpha(d, n1 = n/2, nuisance = 0.5, nuis_ass = 0.5, recalculation = FALSE, allocation = "approximate"),
d@alpha
)
})
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