Nothing
test_that("serial summary hides Y for non-last stage and labels transition clusters for parallel->early", {
set.seed(9201)
n <- 60
G <- matrix(rnorm(n * 3), nrow = n)
Z1 <- matrix(rnorm(n * 4), nrow = n)
Z2 <- matrix(rnorm(n * 4), nrow = n)
Z3 <- matrix(rnorm(n * 5), nrow = n)
Y <- rnorm(n)
Z <- list(list(Z1, Z2), Z3)
suppressWarnings(invisible(capture.output(
fit <- estimate_lucid(
lucid_model = "serial",
G = G,
Z = Z,
Y = Y,
family = "normal",
K = list(list(2, 2), 2),
max_itr = 10,
max_tot.itr = 30,
tol = 1e-2,
seed = 9201
)
)))
s <- summary_lucid(fit)
txt <- capture.output(print(s))
i_stage1 <- grep("^--- Stage 1", txt)[1]
i_stage2 <- grep("^--- Stage 2", txt)[1]
stage1_txt <- txt[i_stage1:(i_stage2 - 1)]
stage2_txt <- txt[i_stage2:length(txt)]
expect_false(any(grepl("^\\(1\\) Y", stage1_txt)))
expect_true(any(grepl("^\\(1\\) Y", stage2_txt)))
expect_true(any(grepl("previous serial stage", txt, fixed = TRUE)))
expect_true(any(grepl("Stage1.Layer1.cluster2", txt, fixed = TRUE)))
expect_true(any(grepl("Stage1.Layer2.cluster2", txt, fixed = TRUE)))
})
test_that("serial summary transition labels are stage-cluster names for early->early", {
set.seed(9202)
n <- 60
G <- matrix(rnorm(n * 3), nrow = n)
Z1 <- matrix(rnorm(n * 5), nrow = n)
Z2 <- matrix(rnorm(n * 5), nrow = n)
Y <- rnorm(n)
Z <- list(Z1, Z2)
suppressWarnings(invisible(capture.output(
fit <- estimate_lucid(
lucid_model = "serial",
G = G,
Z = Z,
Y = Y,
family = "normal",
K = list(2, 2),
max_itr = 10,
max_tot.itr = 30,
tol = 1e-2,
seed = 9202
)
)))
s <- summary_lucid(fit)
txt <- capture.output(print(s))
expect_true(any(grepl("Stage1.cluster2", txt, fixed = TRUE)))
})
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