test_that("Optimal_tte works with prior distribution", {
skip_on_cran()
expect_equal(optimal_tte(w = 0.3, hr1 = 0.69, hr2 = 0.88,
id1 = 210, id2 = 420,
d2min = 20, d2max = 100, stepd2 = 5,
hrgomin = 0.7, hrgomax = 0.9, stephrgo = 0.05,
alpha = 0.05, beta = 0.1, xi2 = 0.7, xi3 = 0.7,
c2 = 0.75, c3 = 1, c02 = 100, c03 = 150,
K = Inf, N = Inf, S = -Inf,
steps1 = 1, stepm1 = 0.95, stepl1 = 0.85,
b1 = 1000, b2 = 2000, b3 = 3000, gamma = 0,
fixed = FALSE, skipII = FALSE, num_cl = 1)[2],
drugdevelopResult(data.frame(u=164.01)))
})
test_that("Optimal_tte works without distribution", {
skip_on_cran()
expect_equal(optimal_tte(w = 0.3, hr1 = 0.69, hr2 = 0.88,
id1 = 210, id2 = 420,
d2min = 20, d2max = 100, stepd2 = 5,
hrgomin = 0.7, hrgomax = 0.9, stephrgo = 0.05,
alpha = 0.05, beta = 0.1, xi2 = 0.7, xi3 = 0.7,
c2 = 0.75, c3 = 1, c02 = 100, c03 = 150,
K = Inf, N = Inf, S = -Inf,
steps1 = 1, stepm1 = 0.95, stepl1 = 0.85,
b1 = 1000, b2 = 2000, b3 = 3000, gamma = 0,
fixed = TRUE, skipII = FALSE, num_cl = 1)[2],
drugdevelopResult(data.frame(u=1020.73)))
})
test_that("Optimal_tte works when skipping phase II", {
skip_on_cran()
expect_equal(optimal_tte(w = 0.3, hr1 = 0.69, hr2 = 0.88,
id1 = 210, id2 = 420,
d2min = 20, d2max = 100, stepd2 = 5,
hrgomin = 0.7, hrgomax = 0.9, stephrgo = 0.01,
alpha = 0.05, beta = 0.1, xi2 = 0.7, xi3 = 0.7,
c2 = 0.75, c3 = 1, c02 = 100, c03 = 150,
K = Inf, N = Inf, S = -Inf,
steps1 = 1, stepm1 = 0.95, stepl1 = 0.85,
b1 = 1000, b2 = 2000, b3 = 3000, gamma = 0,
fixed = TRUE, skipII = TRUE, num_cl = 1)[2, ]$u,
1703.7)
})
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