## | ## | *Unit tests* ## | ## | This file is part of the R package rpact: ## | Confirmatory Adaptive Clinical Trial Design and Analysis ## | ## | Author: Gernot Wassmer, PhD, and Friedrich Pahlke, PhD ## | Licensed under "GNU Lesser General Public License" version 3 ## | License text can be found here: https://www.r-project.org/Licenses/LGPL-3 ## | ## | RPACT company website: https://www.rpact.com ## | RPACT package website: https://www.rpact.org ## | ## | Contact us for information about our services: info@rpact.com ## | ## | File name: test-f_as251.R ## | Creation date: 16 January 2024, 07:16:35 ## | File version: $Revision: 7662 $ ## | Last changed: $Date: 2024-02-23 12:42:26 +0100 (Fr, 23 Feb 2024) $ ## | Last changed by: $Author: pahlke $ ## | test_plan_section("Testing Dunnett AS 251 Functions") test_that("mvnprd and sadmvn are equal", { A <- rep(2, 3) B <- rep(-3, 3) BPD <- sqrt(c(0.3, 0.4, 0.5)) eps <- 1e-06 INF <- rep(2, 3) ierc <- 0 hinc <- 0 x1 <- mvnprd(A = A, B = B, BPD = BPD, EPS = eps, INF = INF, IERC = ierc, HINC = hinc) ## Comparison of the results of numeric object 'x1[1]' with expected results expect_equal(x1[1], 0.93576282, tolerance = 1e-07, label = paste0(x1[1])) }) test_that("mvstud and sadmvn are equal", { NDF <- 4 A <- rep(2, 3) B <- rep(-3, 3) BPD <- sqrt(c(0.3, 0.4, 0.5)) eps <- 1e-06 INF <- rep(2, 3) ierc <- 0 hinc <- 0 D <- rep(0, 3) x1 <- mvstud(NDF = NDF, A = A, B = B, BPD = BPD, D = D, EPS = eps, INF = INF, IERC = ierc, HINC = hinc) ## Comparison of the results of numeric object 'x1[1]' with expected results expect_equal(x1[1], 0.82702172, tolerance = 1e-07, label = paste0(x1[1])) }) test_that("mvstud, sadmvn, and as251StudentT are equal", { NDF <- 4 A <- rep(2, 3) B <- rep(-3, 3) BPD <- sqrt(c(0.3, 0.4, 0.5)) eps <- 1e-06 INF <- rep(2, 3) ierc <- 0 hinc <- 0 D <- rep(0, 3) x1 <- mvstud(NDF = NDF, A = A, B = B, BPD = BPD, D = D, EPS = eps, INF = INF, IERC = ierc, HINC = hinc) sigma <- BPD %*% t(BPD) diag(sigma) <- 1 x2 <- as251StudentT(lower = -3, upper = 2, sigma = sigma, df = NDF, inf = INF, eps = eps, ierc = ierc, hinc = 0) expect_equal(x1[1], x2[1], tolerance = eps) ## Comparison of the results of numeric object 'x1[1]' with expected results expect_equal(x1[1], 0.82702172, tolerance = 1e-07, label = paste0(x1[1])) ## Comparison of the results of numeric object 'x2[1]' with expected results expect_equal(x2[1], 0.82702184, tolerance = 1e-07, label = paste0(x2[1])) }) test_that("binary case: sadmvn and as251Normal are equal", { frac <- rep(0.7, 2) sigma <- sqrt(frac) %*% sqrt(t(frac)) diag(sigma) <- 1 as251StudentT(lower = -Inf, upper = 2, sigma = sigma, df = 500000) x1 <- as251Normal(lower = -Inf, upper = 2, sigma = sigma, eps = 1e-06)[1] ## Comparison of the results of numeric object 'x1[1]' with expected results expect_equal(x1[1], 0.96186131, tolerance = 1e-07, label = paste0(x1[1])) }) test_that("binary case: sadmvn and as251StudentT are equal", { frac <- rep(0.7, 2) sigma <- sqrt(frac) %*% sqrt(t(frac)) diag(sigma) <- 1 x1 <- as251StudentT(lower = -Inf, upper = 2, sigma = sigma, df = 22, eps = 1e-06)[1] ## Comparison of the results of numeric object 'x1[1]' with expected results expect_equal(x1[1], 0.95259881, tolerance = 1e-07, label = paste0(x1[1])) }) test_that("mvnprd, sadmvn, and as251Normal are equal", { BPD <- sqrt(c(0.3, 0.4, 0.5)) eps <- 1e-06 INF <- rep(2, 3) ierc <- 0 hinc <- 0 x1 <- mvnprd(A = rep(2, 3), B = rep(-3, 3), BPD = BPD, EPS = eps, INF = INF, IERC = ierc, HINC = hinc) sigma <- BPD %*% t(BPD) diag(sigma) <- 1 x2 <- as251Normal(lower = -3, upper = 2, sigma = sigma, inf = INF, eps = eps, ierc = ierc, hinc = 0) expect_equal(x1[1], x2[1], tolerance = eps) ## Comparison of the results of numeric object 'x1[1]' with expected results expect_equal(x1[1], 0.93576282, tolerance = 1e-07, label = paste0(x1[1])) ## Comparison of the results of numeric object 'x2[1]' with expected results expect_equal(x2[1], 0.93576294, tolerance = 1e-07, label = paste0(x2[1])) }) test_that("mvnprd, sadmvn, and as251Normal are equal for -Inf lower bound", { A <- rep(2, 3) B <- rep(-Inf, 3) BPD <- sqrt(c(0.3, 0.4, 0.6)) eps <- 1e-06 INF <- rep(1, 3) ierc <- 0 hinc <- 0 x1 <- mvnprd(A = A, B = B, BPD = BPD, EPS = eps, INF = INF, IERC = ierc, HINC = hinc) sigma <- BPD %*% t(BPD) diag(sigma) <- 1 x2 <- as251Normal(lower = -Inf, upper = 2, sigma = sigma) expect_equal(x1[1], x2[1], tolerance = eps) ## Comparison of the results of numeric object 'x1[1]' with expected results expect_equal(x1[1], 0.94042701, tolerance = 1e-07, label = paste0(x1[1])) ## Comparison of the results of numeric object 'x2[1]' with expected results expect_equal(x2[1], 0.94042718, tolerance = 1e-07, label = paste0(x2[1])) })