## ---- test-mc-med lapply( X = 1, FUN = function(i, text, tol) { message(text) total <- 0.0799008 direct <- -0.3209035 indirect <- 0.4008043 answer <- c( total, direct, indirect ) phi <- matrix( data = c( -0.357, 0.771, -0.450, 0.0, -0.511, 0.729, 0, 0, -0.693 ), nrow = 3 ) colnames(phi) <- rownames(phi) <- c("x", "m", "y") vcov_phi_vec <- matrix( data = c( 0.00843, 0.00040, -0.00151, -0.00600, -0.00033, 0.00110, 0.00324, 0.00020, -0.00061, 0.00040, 0.00374, 0.00016, -0.00022, -0.00273, -0.00016, 0.00009, 0.00150, 0.00012, -0.00151, 0.00016, 0.00389, 0.00103, -0.00007, -0.00283, -0.00050, 0.00000, 0.00156, -0.00600, -0.00022, 0.00103, 0.00644, 0.00031, -0.00119, -0.00374, -0.00021, 0.00070, -0.00033, -0.00273, -0.00007, 0.00031, 0.00287, 0.00013, -0.00014, -0.00170, -0.00012, 0.00110, -0.00016, -0.00283, -0.00119, 0.00013, 0.00297, 0.00063, -0.00004, -0.00177, 0.00324, 0.00009, -0.00050, -0.00374, -0.00014, 0.00063, 0.00495, 0.00024, -0.00093, 0.00020, 0.00150, 0.00000, -0.00021, -0.00170, -0.00004, 0.00024, 0.00214, 0.00012, -0.00061, 0.00012, 0.00156, 0.00070, -0.00012, -0.00177, -0.00093, 0.00012, 0.00223 ), nrow = 9 ) mc <- MCMed( phi = phi, vcov_phi_vec = vcov_phi_vec, delta_t = 2, from = "x", to = "y", med = "m", R = 1000, seed = 42 ) testthat::test_that( paste(text, "MCMed"), { testthat::expect_true( all( ( answer - summary(mc)$est ) <= tol ) ) } ) mc <- MCMed( phi = phi, vcov_phi_vec = vcov_phi_vec, delta_t = 1:5, from = "x", to = "y", med = "m", R = 1000, seed = NULL, test_phi = FALSE ) print(mc) summary(mc) confint(mc, level = 0.95) plot(mc) mc <- MCMed( phi = phi, vcov_phi_vec = vcov_phi_vec, delta_t = 1, from = "x", to = "y", med = "m", R = 1000, seed = NULL, test_phi = FALSE ) print(mc) summary(mc) confint(mc, level = 0.95) testthat::test_that( paste(text, "plot error"), { testthat::expect_error( plot(mc) ) } ) }, text = "test-mc-med", tol = 0.01 )