# LUCID - three omics, normal outcome test_that("check estimations of LUCID with normal outcome (K = 2,2,2)", { i <- 1008 set.seed(i) G <- matrix(rnorm(500), nrow = 100) Z1 <- matrix(rnorm(1000),nrow = 100) Z2 <- matrix(rnorm(1000), nrow = 100) Z <- list(Z1 = Z1, Z2 = Z2) CoY <- matrix(rnorm(200), nrow = 100) CoG <- matrix(rnorm(200), nrow = 100) Y <- rnorm(100) # i <- sample(1:2000, 1) # cat(paste("test1 - seed =", i, "\n")) invisible(capture.output(tune_list1 <- tune_lucid(G = G, Z = Z2, Y = Y, K = 2:4, CoG = CoG, CoY = CoY, lucid_model = "early", family = "normal", init_omic.data.model = "VVV", seed = i, init_impute = "mix", init_par = "mclust", useY = TRUE))) invisible(capture.output(best1 <- lucid(G = G, Z = Z2, Y = Y, K = 2:4, CoG = CoG, CoY = CoY, lucid_model = "early", family = "normal", init_omic.data.model = "VVV", seed = i, init_impute = "mix", init_par = "mclust", useY = TRUE))) invisible(capture.output(tune_list2 <- tune_lucid(G = G, Z = Z, Y = Y, K = list(2:4,2), CoG = CoG, CoY = CoY, lucid_model = "parallel", family = "normal", init_omic.data.model = "VVV", seed = i, init_impute = "mix", init_par = "mclust", useY = TRUE))) invisible(capture.output(best2 <- lucid(G = G, Z = Z, Y = Y, K = list(2:4,2), CoG = CoG, CoY = CoY, lucid_model = "serial", family = "normal", init_omic.data.model = "VVV", seed = i, init_impute = "mix", init_par = "mclust", useY = TRUE))) })