## 4 Different runs are tested: # (1) Typical # (2) HRF # (3) Subgrouping # (4) Latent Variables ## Each run has 2 tests: # (1) The "expect_equal" line tests that the beta estimates for the current # version are equal to the path estimates from the source of truth version, with # a tolerance of 1e-5 (i.e. differences smaller than 1e-5 are ignored) # (2) The "expect_identical" line tests that the paths recovered by the # current version are the same as the paths recovered by the source of truth # version. # # ## The "source of truth" version is the version of GIMME on CRAN as of Oct 2023. # # # test_that("Run 1 gives expected results", { # run1_sot <- readRDS("rds/run1_path_matrix.rds") # run1_paths_sot <-readRDS("rds/run1_path_counts.rds") # run1 <- gimme(data = gimme::ts) # expect_equal(run1[["path_est_mats"]], run1_sot, tolerance = 1e-5) # expect_identical(run1[["path_counts"]], run1_paths_sot) # }) # # # # test_that("Run 2 gives expected results", { # run2_sot <- readRDS("rds/run2_path_matrix.rds") # run2_paths_sot <-readRDS("rds/run2_path_counts.rds") # run2 <- gimme(data = gimme::HRFsim, # ar = TRUE, # exogenous = "V5", # conv_vars = "V5", # conv_length = 16, # conv_interval = 1, # mult_vars = "V4*V5", # mean_center_mult = TRUE # ) # expect_equal(run2[["path_est_mats"]], run2_sot, tolerance = 1e-5) # expect_identical(run2[["path_counts"]], run2_paths_sot) # }) # # # # test_that("Run 3 gives expected results", { # run3_sot <- readRDS("rds/run3_path_matrix.rds") # run3_paths_sot <-readRDS("rds/run3_path_counts.rds") # run3 <- gimme(data = gimme::simData, # subgroup = TRUE) # expect_equal(run3[["path_est_mats"]], run3_sot, tolerance = 1e-5) # expect_identical(run3[["path_counts"]], run3_paths_sot) # }) # # # test_that("Run 4 gives expected results", { # run4_sot <- readRDS("rds/run4_path_matrix.rds") # run4_paths_sot <-readRDS("rds/run4_path_counts.rds") # lv_model_all <- " # L1 =~ V1 + V2 + V3 # L2 =~ V4 + V5 + V6 # L3 =~ V7 + V8 + V9 # " # run4 <- gimme(data = gimme::simDataLV, # subgroup = TRUE, # lv_model = lv_model_all, # lv_estimator = "miiv", # lv_score = "regression", # lv_final_estimator = "miiv") # expect_equal(run4[["path_est_mats"]], run4_sot, tolerance = 1e-3) # expect_identical(run4[["path_counts"]], run4_paths_sot) # })