Nothing
test_that("discover_rules works as expected!", {
# Generate sample data
skip_on_cran()
set.seed(2021)
dataset_cont <- generate_cre_dataset(n = 400, rho = 0, n_rules = 2, p = 10,
effect_size = 2, binary_outcome = FALSE)
y <- dataset_cont[["y"]]
z <- dataset_cont[["z"]]
X <- as.data.frame(dataset_cont[["X"]])
X_names <- names(as.data.frame(X))
method_params <- list(ratio_dis = 0.5,
ite_method = "bart",
learner_ps = "SL.xgboost",
learner_y = "SL.xgboost")
hyper_params <- list(intervention_vars = NULL,
offset = NULL,
ntrees = 30,
node_size = 20,
max_rules = 5,
max_depth = 3,
t_decay = 0.025,
t_ext = 0.025,
t_corr = 0.2,
stability_selection = "vanilla",
cutoff = 0.6,
pfer = 10,
B = 2,
subsample = 0.5)
# Input checks
check_input_data(y = y, z = z, X = X)
method_params <- check_method_params(y = y, ite = NULL,
params = method_params)
hyper_params <- check_hyper_params(params = hyper_params)
# Estimate ITE
ite <- estimate_ite(y = y, z = z, X = X,
ite_method = getElement(method_params, "ite_method"),
learner_ps = getElement(method_params, "learner_ps"),
learner_y = getElement(method_params, "learner_y"),
offset = getElement(method_params, "offset"))
# Generate Causal Decision Rules
select_rules <- discover_rules(X, ite, method_params, hyper_params)
expect_true(class(select_rules[[1]]) == "character")
hyper_params[["effect_modifiers"]] <- X_names[c(5, 7, 8, 9)]
select_rules <- discover_rules(X, ite, method_params, hyper_params)
expect_true(class(select_rules[[1]]) == "character")
})
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