Nothing
context("Check PseudoEMAlgorithm")
set.seed(319561)
d <- 2
n <- 1000
m <- 2
true.par <- c(runif(1, 0.2, 0.8), rnorm(1, 3, 0.5),
rchisq(1, df = 1), runif(1, 0.5, 0.95))
data <- SimulateGMCMData(n = n, par = true.par, d = d)
uhat <- Uhat(data$u) # Observed ranks
# Fit the model using the Pseudo EM algorithm
init.par <- c(0.5, 1, 1, 0.5)
suppressWarnings({
res <- GMCM:::PseudoEMAlgorithm(uhat, meta2full(init.par, d = d),
verbose = FALSE, eps = 1e-3,
trace.theta = FALSE,
convergence.criterion = "absGMCM",
meta.special.case = TRUE)
})
test_that("PseudoEMAlgorithm returns proper format", {
expect_true(is.list(res))
expect_that(length(res), equals(3))
expect_true(is.theta(res$theta))
expect_true(is.matrix(res$loglik.tr))
expect_that(nrow(res$loglik.tr), equals(3))
expect_true(is.matrix(res$kappa))
expect_that(dim(res$kappa), equals(c(n, m)))
})
test_that("PseudoEMAlgorithm expected errors & warnigns", {
expect_error(GMCM:::PseudoEMAlgorithm(uhat, meta2full(c(0.5, 25, 0.1, 0.8), d = d)))
expect_warning(GMCM:::PseudoEMAlgorithm(uhat, meta2full(c(0.5, 2, 0.1, 0.8), d = d),
max.ite = 2))
})
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