Nothing
# LUCID - LUCID in Serial, normal outcome
test_that("check estimations of LUCID in Serial with normal outcome (K = 2,list(2,2),3,2)", {
# run LUCID model
i <- 1008
set.seed(i)
G <- matrix(rnorm(500), nrow = 100)
Z1 <- matrix(rnorm(1000),nrow = 100)
Z2 <- matrix(rnorm(1000), nrow = 100)
Z3 <- matrix(rnorm(1000), nrow = 100)
Z4 <- matrix(rnorm(1000), nrow = 100)
Z5 <- matrix(rnorm(1000), nrow = 100)
Z <- list(Z1 = Z1, Z2 = Z2, Z3 = Z3, Z4 = Z4, Z5 = Z5)
Y <- rnorm(100)
CoY <- matrix(rnorm(200), nrow = 100)
CoG <- matrix(rnorm(200), nrow = 100)
# i <- sample(1:2000, 1)
# cat(paste("test1 - seed =", i, "\n"))
invisible(capture.output(fit1 <- tune_lucid(G = G, Z = Z, Y = Y, K = list(2,2:4,2,2:3,2),
lucid_model = "serial",
family = "normal",
seed = i,
CoG = CoG, CoY = CoY,
useY = TRUE)))
invisible(capture.output(best1 <- lucid(G = G, Z = Z, Y = Y, K = list(2,2:4,2,2:3,2),
lucid_model = "serial",
family = "normal",
seed = i,
CoG = CoG, CoY = CoY,
useY = TRUE)))
Z <- list(Z1 = Z1, list(Z2 = Z2, Z3 = Z3), Z4 = Z4, Z5 = Z5)
invisible(capture.output(fit2 <- tune_lucid(G = G, Z = Z, Y = Y, K = list(2,list(2:3,2),2:4,2),
lucid_model = "serial",
family = "normal",
seed = i,
CoG = CoG, CoY = CoY,
useY = TRUE)))
invisible(capture.output(best2 <- lucid(G = G, Z = Z, Y = Y, K = list(2,list(2:3,2),2:4,2),
lucid_model = "serial",
family = "normal",
seed = i,
CoG = CoG, CoY = CoY,
useY = TRUE)))
Z <- list(Z1 = Z1, list(Z2 = Z2, Z3 = Z3), list(Z4 = Z4, Z5 = Z5))
invisible(capture.output(fit3 <- tune_lucid(G = G, Z = Z, Y = Y, K = list(3:4,list(2,2),list(2:5,2)),
lucid_model = "serial",
family = "normal",
seed = i,
CoG = CoG, CoY = CoY,
useY = TRUE)))
invisible(capture.output(best3 <- lucid(G = G, Z = Z, Y = Y, K = list(3:4,list(2,2),list(2:5,2)),
lucid_model = "serial",
family = "normal",
seed = i,
CoG = CoG, CoY = CoY,
useY = FALSE,
verbose_tune = TRUE)))
})
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