Nothing

```
context("test adjusted_alpha for the Chi-Squared test")
test_that("adjusted_alpha gives actual level at most nominal level", {
nuis_vec <- seq(0.2, 0.8, by = 0.1)
gamma <- 0.001
design1 <- setupChiSquare(alpha = 0.025, beta = 0.2, r = 1, delta = 0.2)
n1 <- n_fix(design1, nuisance = 0.3)
adjalpha1 <- adjusted_alpha(design1, n1 = n1, nuisance = nuis_vec,
gamma = gamma, nuis_ass = 0.3, precision = 0.001,
recalculation = FALSE)
design1@alpha <- adjalpha1
n1_new <- n_fix(design1, nuisance = 0.3)
alpha_max1 <- max(toer(design1, n1 = n1_new, nuisance = nuis_vec,
recalculation = FALSE, allocation = "exact"))
design2 <- setupChiSquare(alpha = 0.025, beta = 0.2, r = 1, delta = 0.2)
n2 <- n_fix(design2, nuisance = 0.3)
adjalpha2 <- adjusted_alpha(design2, n1 = n2, nuisance = nuis_vec,
gamma = gamma, nuis_ass = 0.3, precision = 0.001,
recalculation = FALSE, allocation = "approximate")
design2@alpha <- adjalpha2
n2_new <- n_fix(design2, nuisance = 0.3)
alpha_max2 <- max(toer(design2, n1 = n2_new, nuisance = nuis_vec,
recalculation = FALSE, allocation = "approximate"))
design3 <- setupChiSquare(alpha = 0.025, beta = 0.2, r = 3, delta = 0.3)
adjalpha3 <- adjusted_alpha(design3, n1 = 50, nuisance = nuis_vec,
gamma = gamma, precision = 0.005,
recalculation = TRUE, allocation = "approximate")
design3@alpha <- adjalpha3
alpha_max3 <- max(toer(design3, n1 = 50, nuisance = nuis_vec,
recalculation = TRUE, allocation = "approximate"))
expect_lte(alpha_max1, 0.025 - gamma)
expect_lte(alpha_max2, 0.025 - gamma)
expect_lte(alpha_max3, 0.025 - gamma)
})
test_that("errors are thrown correctly", {
d1 <- setupChiSquare(alpha = 0.025, beta = 0.2, r = 2, delta = 0.1, n_max = 300)
expect_error(adjusted_alpha(d1, n1 = 21, nuisance = 1.1, TRUE))
expect_error(adjusted_alpha(d1, n1 = 20, nuisance = 0.8, TRUE))
d1@n_max <- 301
expect_error(adjusted_alpha(d1, n1 = 21, nuisance = 0.8, TRUE))
})
```

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