Nothing
pi1 <- "p_side_effects_t1"
pi2 <- "p_side_effects_t2"
rho <- "logor_side_effects"
if (0){
chemo_datagen_fn <- function(inputs, n=150){
nsim <- nrow(inputs)
with(inputs, {
X.SE1 <- rbinom(nsim, size=n, prob=p_side_effects_t1)
X.SE2 <- rbinom(nsim, size=n, prob=p_side_effects_t2)
data.frame(X.SE1, X.SE2)
})
}
}
test_that("EVSI with built-in study designs", {
set.seed(1)
expect_equal(
evsi(chemo_nb, chemo_pars, study="trial_binary", pars=c(pi1, pi2), verbose=FALSE)$evsi,
242.1268, tol=0.01)
set.seed(1)
e1 <- evsi(chemo_nb, chemo_pars, study="binary", n=100, pars=c(pi2), verbose=FALSE)$evsi
e2 <- evsi(chemo_nb, chemo_pars, study="binary", n=10000, pars=c(pi2), verbose=FALSE)$evsi
expect_gt(e2, e1)
set.seed(1)
e1 <- evsi(chemo_nb, chemo_pars, study="normal_known", n=100, pars=c(pi2), verbose=FALSE)$evsi
e2 <- evsi(chemo_nb, chemo_pars, study="normal_known", n=10000, pars=c(pi2), verbose=FALSE)$evsi
expect_gt(e2, e1)
set.seed(1)
e1 <- evsi(chemo_nb, chemo_pars, study="normal_known", n=10000, aux_pars=list(sd=2), pars=c(pi2), verbose=FALSE)$evsi
e2 <- evsi(chemo_nb, chemo_pars, study="normal_known", n=10000, aux_pars=list(sd=0.1), pars=c(pi2), verbose=FALSE)$evsi
ep <- evppi(chemo_nb, chemo_pars, pars=c(pi2), verbose=FALSE)$evppi
expect_gt(e2, e1)
expect_gt(ep, e2)
})
test_that("EVSI with built-in study designs: IS method", {
set.seed(1)
expect_equal(
evsi(chemo_nb, chemo_pars, study="trial_binary", pars=c(pi1, pi2),
method="is", nsim=1000, verbose=FALSE)$evsi
,
239.1277, tol=0.01)
})
test_that("EVSI with multiple sample sizes", {
set.seed(1)
e1 <- evsi(chemo_nb, chemo_pars, study="binary", n=100, pars=c(pi1), verbose=FALSE)
e2 <- evsi(chemo_nb, chemo_pars, study="binary", n=1000, pars=c(pi1), verbose=FALSE)
set.seed(1)
e3 <- evsi(chemo_nb, chemo_pars, study="binary", n=c(100,1000), pars=c(pi1), verbose=FALSE)
expect_equal(e1$evsi, e3$evsi[1])
expect_equal(e2$evsi, e3$evsi[2])
set.seed(1)
e4 <- evsi(chemo_cea, chemo_pars, study="binary", n=c(100,1000), pars=c(pi1), verbose=FALSE)
expect_equal(e4$evsi[e4$k==20000 & e4$n==100], e1$evsi, tol=1e-03)
set.seed(1)
e1 <- evsi(chemo_cea, chemo_pars, study="binary", n=c(100,1000), pars=c(pi2),
verbose=FALSE, method="is", nsim=1000)
expect_equal(e1$evsi[2], 226.7225, tol=1e-04)
set.seed(1)
e2 <- evsi(chemo_nb, chemo_pars, study="binary", n=c(100,1000), pars=c(pi2),
verbose=FALSE, method="is", nsim=1000)
expect_equal(e2$evsi[1], 219.236, tol=1e-04)
})
test_that("EVSI with multiple sample sizes and CEA output", {
set.seed(1)
e1 <- evsi(chemo_cea, chemo_pars, study="binary", n=100, pars=c(pi2), verbose=FALSE)
e2 <- evsi(chemo_cea, chemo_pars, study="binary", n=1000, pars=c(pi2), verbose=FALSE)
set.seed(1)
e12 <- evsi(chemo_cea, chemo_pars, study="binary", n=c(100,1000), pars=c(pi2), verbose=FALSE)
expect_equal(e12$evsi, c(e1$evsi,e2$evsi), tol=1e-03)
expect_equal(e12$n, c(e1$n,e2$n))
})
test_that("EVSI with check", {
expect_no_error({
ev <- evsi(chemo_nb, chemo_pars, study="trial_binary", pars=c(pi1, pi2),
n=c(100, 200), check=TRUE)
check_regression(ev)
check_regression(ev, n=100)
})
expect_error(check_regression(ev, n=37), "sample size `37` not found")
})
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