test_that("summary for data_preparation separate=TRUE", { save_dir <- withr::local_tempdir(pattern = "summary", tempdir(TRUE)) set.seed(2002213011) simdata_censored <- data_gen_censored(500, 10) object <- data_preparation( data = simdata_censored, id = "ID", period = "t", treatment = "A", outcome = "Y", cense = "C", eligible = "eligible", estimand_type = "PP", outcome_cov = ~X1, model_var = "assigned_treatment", use_censor_weights = TRUE, cense_n_cov = ~X1, switch_n_cov = ~age_s, pool_cense = "none", separate_files = TRUE, data_dir = save_dir, save_weight_models = TRUE, quiet = TRUE ) expect_snapshot( summary(object, digits = 3), transform = function(lines) { lines <- gsub(": .*trial_", ": random_temp_dir_path/trial_", lines) gsub("^--- *", "---", lines) } ) expect_snapshot( print(object$censor_models[[1]], digits = 4), transform = function(lines) { gsub("\".*cense_model_d0.rds", "\"random_temp_dir_path/cense_model_d0.rds", lines) } ) expect_snapshot(print(object$censor_models[[1]], full = FALSE, digits = 4)) }) test_that("summary for data_preparation separate=FALSE", { save_dir <- withr::local_tempdir(pattern = "summary", tempdir(TRUE)) set.seed(2002213011) simdata_censored <- data_gen_censored(1000, 10) object <- data_preparation( data = simdata_censored, id = "ID", period = "t", treatment = "A", outcome = "Y", cense = "C", eligible = "eligible", outcome_cov = ~X1, estimand_type = "As-Treated", model_var = c("assigned_treatment", "dose"), use_censor_weights = TRUE, pool_cense = "none", cense_n_cov = ~X1, switch_n_cov = ~age_s, separate_files = FALSE, data_dir = save_dir, save_weight_models = FALSE, quiet = TRUE ) expect_snapshot(summary(object, digits = 3)) expect_snapshot(print(object$switch_models[[1]], digits = 4)) expect_snapshot(print(object$switch_models[[1]], full = FALSE, digits = 4)) }) test_that("summary for initiators", { set.seed(20020111) simdata_censored <- data_gen_censored(1000, 10) expect_warning( object <- initiators( data = simdata_censored, id = "ID", period = "t", treatment = "A", outcome = "Y", cense = "C", eligible = "eligible", outcome_cov = ~X1, model_var = c("assigned_treatment", "dose"), estimand_type = "As-Treated", pool = "none", use_censor_weights = TRUE, cense_n_cov = ~X1, switch_n_cov = ~age_s, quiet = TRUE ), "non-integer" ) expect_snapshot(summary(object, digits = 3)) expect_snapshot(summary(object, digits = 7)) })