Nothing
testthat::test_that("accrual duration with specified critical values, unweighted", {
l = lrsamplesize(beta = 0.2, 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 = NA,
followupTime = 18, fixedFollowup = FALSE,
rho1 = 0, rho2 = 0,
numSubintervals = 300,
rounding = 0)
testthat::expect_equal(round(l$resultsUnderH1$overallResults$accrualDuration, 2),
23.56)
})
testthat::test_that("accrual duration with specified critical values, weighted", {
l = lrsamplesize(beta = 0.2, kMax = 2,
informationRates = c(0.8, 1),
criticalValues = c(2.250, 2.025),
allocationRatioPlanned = 1,
accrualTime = seq(0, 8),
accrualIntensity = 26/9*seq(1, 9),
piecewiseSurvivalTime = c(0, 6),
stratumFraction = c(0.2, 0.8),
lambda1 = c(0.0533, 0.0309, 1.5*0.0533, 1.5*0.0309),
lambda2 = c(0.0533, 0.0533, 1.5*0.0533, 1.5*0.0533),
gamma1 = -log(1-0.05)/12,
gamma2 = -log(1-0.05)/12,
accrualDuration = NA,
followupTime = 18, fixedFollowup = FALSE,
rho1 = 0, rho2 = 1,
numSubintervals = 300,
rounding = 0)
testthat::expect_equal(round(l$resultsUnderH1$overallResults$accrualDuration, 2),
16.74)
})
testthat::test_that("accrual duration with alpha-spending, weighted", {
l = lrsamplesize(beta = 0.2, kMax = 2,
informationRates = c(0.8, 1),
alpha = 0.025, typeAlphaSpending = "user",
userAlphaSpending = c(0.01, 0.025),
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 = NA,
followupTime = 18, fixedFollowup = FALSE,
rho1 = 0, rho2 = 1,
numSubintervals = 300,
rounding = 0)
testthat::expect_equal(round(l$resultsUnderH1$overallResults$accrualDuration, 2),
16.67)
})
testthat::test_that("accrual duration with beta-spending, weighted", {
l = lrsamplesize(beta = 0.2, kMax = 2,
informationRates = c(0.8, 1),
alpha = 0.025, typeAlphaSpending = "user",
userAlphaSpending = c(0.01, 0.025),
typeBetaSpending = "user",
userBetaSpending = c(0.1, 0.2),
allocationRatioPlanned = 1,
accrualTime = seq(0, 8),
accrualIntensity = 26/9*seq(1, 9),
piecewiseSurvivalTime = c(0, 6),
stratumFraction = c(0.2, 0.8),
lambda1 = c(0.0533, 0.0309, 1.5*0.0533, 1.5*0.0309),
lambda2 = c(0.0533, 0.0533, 1.5*0.0533, 1.5*0.0533),
gamma1 = -log(1-0.05)/12,
gamma2 = -log(1-0.05)/12,
accrualDuration = NA,
followupTime = 18, fixedFollowup = FALSE,
rho1 = 0, rho2 = 1,
numSubintervals = 300,
rounding = 0)
testthat::expect_equal(round(l$resultsUnderH1$overallResults$accrualDuration, 2),
16.94)
})
testthat::test_that("accrual duration with user-specified alpha and beta spending", {
l = lrsamplesize(beta=0.1, kMax=3,
informationRates=c(0.5, 0.75, 1),
alpha=0.025, typeAlphaSpending = "user",
userAlphaSpending = c(0, 0.00965, 0.025),
typeBetaSpending = "user",
userBetaSpending = c(0.02, 0.02, 0.1),
allocationRatioPlanned = 3,
accrualIntensity = 5,
lambda1 = 0.3*0.95/12,
lambda2 = 0.95/12,
gamma1 = -log(1-0.1)/24,
gamma2 = -log(1-0.1)/24,
accrualDuration = NA,
followupTime = 6.5, fixedFollowup = TRUE,
rho1 = 0, rho2 = 0,
numSubintervals = 300,
rounding = 0)
testthat::expect_equal(round(l$resultsUnderH1$overallResults$accrualDuration, 2),
26.17)
})
testthat::test_that("follow-up duration with specified critical values, unweighted", {
l = lrsamplesize(beta = 0.2, kMax = 2,
informationRates = c(0.8, 1),
criticalValues = c(2.250, 2.025),
allocationRatioPlanned = 1,
accrualTime = seq(0, 8),
accrualIntensity = 26/9*seq(1, 9),
piecewiseSurvivalTime = c(0, 6),
stratumFraction = c(0.2, 0.8),
lambda1 = c(0.0533, 0.0309, 1.5*0.0533, 1.5*0.0309),
lambda2 = c(0.0533, 0.0533, 1.5*0.0533, 1.5*0.0533),
gamma1 = -log(1-0.05)/12,
gamma2 = -log(1-0.05)/12,
accrualDuration = 22,
followupTime = NA, fixedFollowup = FALSE,
rho1 = 0, rho2 = 0,
numSubintervals = 300,
rounding = 0)
testthat::expect_equal(round(l$resultsUnderH1$overallResults$followupTime, 2),
21.43)
})
testthat::test_that("follow-up duration with specified critical values, weighted", {
l = lrsamplesize(beta = 0.2, 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 = NA, fixedFollowup = FALSE,
rho1 = 0, rho2 = 1,
numSubintervals = 300,
rounding = 0)
testthat::expect_equal(round(l$resultsUnderH1$overallResults$followupTime, 2),
9.19)
})
testthat::test_that("follow-up duration with alpha-spending, weighted", {
l = lrsamplesize(beta = 0.2, kMax = 2,
informationRates = c(0.8, 1),
alpha = 0.025, typeAlphaSpending = "user",
userAlphaSpending = c(0.01, 0.025),
allocationRatioPlanned = 1,
accrualTime = seq(0, 8),
accrualIntensity = 26/9*seq(1, 9),
piecewiseSurvivalTime = c(0, 6),
stratumFraction = c(0.2, 0.8),
lambda1 = c(0.0533, 0.0309, 1.5*0.0533, 1.5*0.0309),
lambda2 = c(0.0533, 0.0533, 1.5*0.0533, 1.5*0.0533),
gamma1 = -log(1-0.05)/12,
gamma2 = -log(1-0.05)/12,
accrualDuration = 22,
followupTime = NA, fixedFollowup = FALSE,
rho1 = 0, rho2 = 1,
numSubintervals = 300,
rounding = 0)
testthat::expect_equal(round(l$resultsUnderH1$overallResults$followupTime, 2),
9.06)
})
testthat::test_that("follow-up duration with alpha and beta spending, weighted", {
l = lrsamplesize(beta = 0.2, kMax = 2,
informationRates = c(0.8, 1),
alpha = 0.025, typeAlphaSpending = "sfKD",
parameterAlphaSpending = 0.5,
typeBetaSpending = "sfHSD",
parameterBetaSpending = -2,
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 = NA, fixedFollowup = FALSE,
rho1 = 0, rho2 = 1,
numSubintervals = 300,
rounding = 0)
testthat::expect_equal(round(l$resultsUnderH1$overallResults$followupTime, 2),
10.94)
})
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