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 <- estimate_lucid(G = G, Z = Z, Y = Y, K = list(2,2,2,2,2),
lucid_model = "serial",
family = "normal",
seed = i,
CoG = CoG, CoY = CoY,
useY = TRUE)))
betas <- mean(unlist(fit1$res_Beta))
mus <- mean(unlist(fit1$res_Mu))
sigma <- mean(unlist(fit1$res_Sigma))
Gamma <- mean(unlist(fit1$res_Gamma))
# check parameters
expect_equal(betas, -0.07699, tolerance = 0.01)
expect_equal(mus, 0.0149, tolerance = 0.01)
expect_equal(sigma, 0.0845, tolerance = 0.01)
expect_equal(Gamma, 0.3373, tolerance = 0.01)
expect_equal(class(fit1), "lucid_serial")
Z <- list(Z1 = Z1, list(Z2 = Z2, Z3 = Z3), Z4 = Z4, Z5 = Z5)
invisible(capture.output(fit2 <- estimate_lucid(G = G, Z = Z, Y = Y, K = list(2,list(2,2),2,2),
lucid_model = "serial",
family = "normal",
seed = i,
CoG = CoG, CoY = CoY,
useY = TRUE)))
betas <- mean(unlist(fit2$res_Beta))
mus <- mean(unlist(fit2$res_Mu))
sigma <- mean(unlist(fit2$res_Sigma))
Gamma <- mean(unlist(fit2$res_Gamma))
# check parameters
expect_equal(betas, -0.07699, tolerance = 0.01)
expect_equal(mus, 0.0139, tolerance = 0.01)
expect_equal(sigma, 0.0848, tolerance = 0.01)
expect_equal(Gamma, 0.337, tolerance = 0.01)
expect_equal(class(fit2), "lucid_serial")
Z <- list(Z1 = Z1, list(Z2 = Z2, Z3 = Z3), list(Z4 = Z4, Z5 = Z5))
invisible(capture.output(fit3 <- estimate_lucid(G = G, Z = Z, Y = Y, K = list(3,list(2,2),list(2,2)),
lucid_model = "serial",
family = "normal",
seed = i,
CoG = CoG, CoY = CoY,
useY = TRUE)))
betas <- mean(unlist(fit3$res_Beta))
mus <- mean(unlist(fit3$res_Mu))
sigma <- mean(unlist(fit3$res_Sigma))
Gamma <- mean(unlist(fit3$res_Gamma$Gamma$mu))
# check parameters
expect_equal(betas, -0.1144, tolerance = 0.01)
expect_equal(mus, 0.00499, tolerance = 0.01)
expect_equal(sigma, 0.0793, tolerance = 0.01)
expect_equal(Gamma, 0.00179, tolerance = 0.01)
expect_equal(class(fit3), "lucid_serial")
})
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