testthat::test_that("Passing in weights and data arguments", {
variables = c("gender",
"age_years_interview", "education_adult")
res = cforward(nhanes_example,
event_time = "event_time_years",
event_status = "mortstat",
weight_column = "WTMEC4YR_norm",
variables = variables,
included_variables = NULL,
n_folds = 1, # when fold is 1
seed = 1989,
max_model_size = 2,
verbose = FALSE)
# should be the same - no test/train split
testthat::expect_equal(
res[[1]]$full_concordance,
c(res[[1]]$cv_concordance)
)
testthat::expect_warning({
res = cforward(nhanes_example,
event_time = "event_time_years",
event_status = "mortstat",
weight_column = "WTMEC4YR_norm",
variables = variables,
included_variables = NULL,
n_folds = 2,
weights = 5, # weights are specific
seed = 1989,
max_model_size = 50,
verbose = FALSE)
}, regexp = "were specified")
testthat::expect_error({
res = cforward(nhanes_example,
event_time = "event_time_years",
event_status = "mortstat",
weight_column = "WTMEC4YR_norm",
variables = "blahblahbald",
included_variables = NULL,
n_folds = 2,
weights = 5,
seed = 1989,
max_model_size = 50,
verbose = FALSE)
}, regexp = "Independent variables")
testthat::expect_warning({
estimate_concordance(nhanes_example, nhanes_example,
data = nhanes_example,
all_variables = "1")
}, regexp = "data set in.*overridden.*")
x = nhanes_example
x$strata = rbinom(nrow(x), size = 1, prob = 0.2)
res = cforward(x,
event_time = "event_time_years",
event_status = "mortstat",
weight_column = "WTMEC4YR_norm",
variables = variables,
included_variables = NULL,
n_folds = 2,
cfit_args = list(strata_column = "strata"),
seed = 1989,
max_model_size = 50,
verbose = FALSE)
x$gender[1] = NA
testthat::expect_warning({
res = cforward(x,
event_time = "event_time_years",
event_status = "mortstat",
weight_column = "WTMEC4YR_norm",
variables = variables,
included_variables = NULL,
n_folds = 2,
seed = 1989,
max_model_size = 50,
verbose = FALSE)
}, regexp = "elements in the test")
})
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