Nothing
dag <- empty_dag() +
node("A", "rnorm", mean=10, sd=120) +
node("B", "rbernoulli", p=0.3)
dag_td <- empty_dag() +
node_td("A", "time_to_event", prob_fun=0.01)
dag_des <- empty_dag() +
node_td("Y", type="next_time", prob_fun=0.01, event_duration=Inf)
test_that("without td, basecase", {
out <- sim_n_datasets(dag=dag, n_repeats=10, n_cores=1, n_sim=10)
expect_true(length(out) == 10)
expect_true(inherits(out[[1]], "data.table"))
})
test_that("without td, data_format", {
dat_transform <- function(data) {
return(10)
}
assign("dat_transform", value=dat_transform, envir=.GlobalEnv)
out <- sim_n_datasets(dag=dag, n_repeats=10, n_cores=1, n_sim=10,
data_format="dat_transform")
expect_true(length(out) == 10)
expect_equal(out[[1]], 10)
})
test_that("with td, basecase", {
out <- sim_n_datasets(dag=dag_td, n_repeats=10, n_cores=1, n_sim=10,
max_t=100)
expect_true(length(out) == 10)
expect_true(inherits(out[[1]], "simDT"))
})
test_that("with td, data_format", {
out <- sim_n_datasets(dag=dag_td, n_repeats=10, n_cores=1, n_sim=10,
max_t=100, data_format="start_stop")
expect_true(length(out) == 10)
expect_true(inherits(out[[1]], "data.table"))
})
test_that("without td, parallel", {
out <- sim_n_datasets(dag=dag, n_repeats=10, n_cores=2, n_sim=10)
expect_true(length(out) == 10)
expect_true(inherits(out[[1]], "data.table"))
})
test_that("with td, parallel", {
out <- sim_n_datasets(dag=dag_td, n_repeats=10, n_cores=2, n_sim=10,
max_t=100, progressbar=FALSE)
expect_true(length(out) == 10)
expect_true(inherits(out[[1]], "simDT"))
})
test_that("with td, parallel", {
expect_output(sim_n_datasets(dag=dag_td, n_repeats=10, n_cores=2, n_sim=10,
max_t=100))
})
test_that("with DES, basecase", {
out <- sim_n_datasets(dag=dag_des, n_repeats=10, n_cores=1, n_sim=10,
max_t=100)
expect_true(length(out) == 10)
expect_true(inherits(out[[1]], "data.table"))
})
test_that("with DES, parallel", {
out <- sim_n_datasets(dag=dag_des, n_repeats=10, n_cores=2, n_sim=10,
max_t=100)
expect_true(length(out) == 10)
expect_true(inherits(out[[1]], "data.table"))
})
test_that("with DES, data_format warning", {
expect_warning(sim_n_datasets(dag=dag_des, n_repeats=10, n_cores=1, n_sim=10,
max_t=100, data_format="long"),
paste0("Only the 'start_stop' format is supported ",
"with discrete-event simulations. No data ",
"transformation was carried out."))
})
test_that("custom function for prob_fun, parallel", {
fun2 <- function() {
return(1)
}
prob_fun <- function(data) {
test <- fun2()
return(0.1)
}
assign("prob_fun", value=prob_fun, envir=.GlobalEnv)
assign("fun2", value=fun2, envir=.GlobalEnv)
dag <- empty_dag() +
node("A", "rnorm", mean=10, sd=120) +
node("B", "rbernoulli", p=0.3) +
node_td("C", "time_to_event", prob_fun=prob_fun)
expect_no_error(out <- sim_n_datasets(dag=dag, n_sim=100, n_repeats=2,
max_t=10, n_cores=2))
})
test_that("custom function for data_format, parallel", {
data_fun <- function(data) {
return(data)
}
assign("data_fun", value=data_fun, envir=.GlobalEnv)
dag <- empty_dag() +
node("A", "rnorm", mean=10, sd=120) +
node("B", "rbernoulli", p=0.3) +
node_td("C", "time_to_event", prob_fun=0.01)
expect_no_error(out <- sim_n_datasets(dag=dag, n_sim=100, n_repeats=2,
max_t=10, n_cores=2,
data_format=data_fun))
})
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