Nothing
testthat::test_that("power with specified critical values, unweighted", {
l = lrpower(kMax = 2, informationRates = c(0.8, 1),
criticalValues = c(2.250, 2.025),
allocationRatioPlanned = 1, accrualTime = seq(0, 8),
accrualIntensity = 26/9*seq(1, 9),
piecewiseSurvivalTime = c(0, 6),
stratumFraction = c(0.2, 0.8),
lambda1 = c(0.0533, 0.0309, 1.5*0.0533, 1.5*0.0309),
lambda2 = c(0.0533, 0.0533, 1.5*0.0533, 1.5*0.0533),
gamma1 = -log(1-0.05)/12,
gamma2 = -log(1-0.05)/12, accrualDuration = 22,
followupTime = 18, fixedFollowup = FALSE,
rho1 = 0, rho2 = 0,
numSubintervals = 300)
testthat::expect_equal(round(l$overallResults$overallReject, 4), 0.7570)
})
testthat::test_that("power with specified critical values, weighted", {
l = lrpower(kMax = 2, informationRates = c(0.8, 1),
criticalValues = c(2.250, 2.025),
allocationRatioPlanned = 1, accrualTime = seq(0, 8),
accrualIntensity = 26/9*seq(1, 9),
piecewiseSurvivalTime = c(0, 6),
stratumFraction = c(0.2, 0.8),
lambda1 = c(0.0533, 0.0309, 1.5*0.0533, 1.5*0.0309),
lambda2 = c(0.0533, 0.0533, 1.5*0.0533, 1.5*0.0533),
gamma1 = -log(1-0.05)/12,
gamma2 = -log(1-0.05)/12, accrualDuration = 22,
followupTime = 18, fixedFollowup = FALSE,
rho1 = 0, rho2 = 1,
numSubintervals = 300)
testthat::expect_equal(round(l$overallResults$overallReject, 4), 0.9313)
})
testthat::test_that("power with alpha-spending, weighted", {
l = lrpower(kMax = 2, informationRates = c(0.8, 1),
alpha = 0.025, typeAlphaSpending = "sfOF",
allocationRatioPlanned = 1, accrualTime = seq(0, 8),
accrualIntensity = 26/9*seq(1, 9),
piecewiseSurvivalTime = c(0, 6),
stratumFraction = c(0.2, 0.8),
lambda1 = c(0.0533, 0.0309, 1.5*0.0533, 1.5*0.0309),
lambda2 = c(0.0533, 0.0533, 1.5*0.0533, 1.5*0.0533),
gamma1 = -log(1-0.05)/12,
gamma2 = -log(1-0.05)/12, accrualDuration = 22,
followupTime = 18, fixedFollowup = FALSE,
rho1 = 0, rho2 = 1,
numSubintervals = 300)
testthat::expect_equal(round(l$overallResults$overallReject, 4), 0.9313)
})
testthat::test_that("power with beta-spending, weighted", {
l = lrpower(kMax = 2, informationRates = c(0.8, 1),
alpha = 0.025, typeAlphaSpending = "sfP",
typeBetaSpending = "sfKD", parameterBetaSpending = 1.5,
allocationRatioPlanned = 1, accrualTime = seq(0, 8),
accrualIntensity = 26/9*seq(1, 9),
piecewiseSurvivalTime = c(0, 6),
stratumFraction = c(0.2, 0.8),
lambda1 = c(0.0533, 0.0309, 1.5*0.0533, 1.5*0.0309),
lambda2 = c(0.0533, 0.0533, 1.5*0.0533, 1.5*0.0533),
gamma1 = -log(1-0.05)/12,
gamma2 = -log(1-0.05)/12, accrualDuration = 22,
followupTime = 18, fixedFollowup = FALSE,
rho1 = 0, rho2 = 1,
numSubintervals = 300)
testthat::expect_equal(round(l$byStageResults$futilityBounds[1], 4), 1.6661)
})
testthat::test_that("power for stratified analysis", {
p1 = c(0.28, 0.13, 0.25, 0.34)
p2 = c(0.28, 0.72)
p3 = c(0.43, 0.37, 0.2)
stratumFraction = p1 %x% p2 %x% p3
stratumFraction = stratumFraction/sum(stratumFraction)
theta1 = c(1, 2.127, 0.528, 0.413)
theta2 = c(1, 0.438)
theta3 = c(1, 0.614, 0.159)
lambda2 = 0.009211*exp(log(theta1) %x% log(theta2) %x% log(theta3))
caltime(nevents = 66, accrualDuration = 24, accrualIntensity = 12,
stratumFraction = stratumFraction,
lambda1 = 0.4466*lambda2, lambda2 = lambda2,
followupTime = 100)
l = lrpower(kMax = 3,
informationRates = (1:3)/3,
alpha = 0.025, typeAlphaSpending = "sfOF",
accrualIntensity = 12,
stratumFraction = stratumFraction,
lambda1 = 0.4466*lambda2,
lambda2 = lambda2,
accrualDuration = 24,
followupTime = 30.92)
testthat::expect_equal(round(l$overallResults$overallReject, 4), 0.8824)
})
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