Nothing
testthat::test_that("event prediction at design stage", {
set.seed(1000)
enroll_prior <- list(
model = "piecewise poisson",
accrualTime = seq(0, 8)*30.4375,
theta = log(26/9*seq(1, 9)/30.4375),
vtheta = diag(9)*1e-8)
pred1 <- predictEnrollment(
target_n = 300,
enroll_fit = enroll_prior,
pilevel = 0.90, nreps = 200,
showsummary = FALSE, showplot = FALSE)
event_prior <- list(
model = "piecewise exponential",
theta = log(c(0.0533, 0.0309)/30.4375),
vtheta = diag(2)*1e-8,
piecewiseSurvivalTime = c(0,6)*30.4375)
dropout_prior <- list(
model = "exponential",
theta = log((-log(1-0.05)/12)/30.4375),
vtheta = 1e-8)
pred2 <- predictEvent(
target_d = 200,
newSubjects = pred1$newSubjects,
event_fit = event_prior,
dropout_fit = dropout_prior,
pilevel = 0.90, nreps = 200,
showsummary = FALSE, showplot = FALSE)
a <- as.numeric(pred2$event_pred_day)
b <- c(1349, 1208, 1511)
testthat::expect_equal(a, b)
})
testthat::test_that("event prediction during enrollment stage", {
set.seed(2000)
enroll_fits <- fitEnrollment(
df = interimData1, enroll_model = "b-spline",
nknots = 1, showplot = FALSE)
pred1 <- predictEnrollment(
df = interimData1,
target_n = 300,
enroll_fit = enroll_fits$fit,
lags = 30,
pilevel = 0.90, nreps = 100,
showsummary = FALSE, showplot = FALSE)
event_fits <- fitEvent(
df = interimData1,
event_model = "weibull",
showplot = FALSE)
dropout_fits <- fitDropout(
df = interimData1,
dropout_model = "exponential",
showplot = FALSE)
pred2 <- predictEvent(
df = interimData1, target_d = 200,
newSubjects = pred1$newSubjects,
event_fit = event_fits$fit,
dropout_fit = dropout_fits$fit,
pilevel = 0.90, nreps = 100,
showsummary = FALSE, showplot = FALSE)
a <- as.numeric(pred2$event_pred_day)
b <- c(1157, 835, 1930)
testthat::expect_equal(a, b)
})
testthat::test_that("event prediction after enrollment completion", {
set.seed(3000)
event_fits <- fitEvent(
df = interimData2,
event_model = "piecewise exponential",
piecewiseSurvivalTime = c(0, 140, 352),
showplot = FALSE)
dropout_fits <- fitDropout(
df = interimData2,
dropout_model = "exponential",
showplot = FALSE)
pred1 <- predictEvent(
df = interimData2, target_d = 200,
event_fit = event_fits$fit,
dropout_fit = dropout_fits$fit,
pilevel = 0.90, nreps = 100,
showsummary = FALSE, showplot = FALSE)
a <- as.numeric(pred1$event_pred_day)
b <- c(1093, 1047, 1168)
testthat::expect_equal(a, b)
})
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