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) })