Nothing
dat <- lavaan::HolzingerSwineford1939
mod <- "
visual =~ x1 + x2 + x3
textual =~ x4 + x5 + x6
"
test_that("vcov() returns a matrix for INLAvaan objects", {
fit <- acfa(mod, dat, verbose = FALSE, nsamp = 3, test = "none")
vc <- suppressMessages(vcov(fit))
expect_true(is.matrix(vc))
expect_equal(nrow(vc), length(coef(fit)))
expect_equal(ncol(vc), length(coef(fit)))
})
test_that("vcov(type = 'theta') returns Laplace covariance", {
fit <- acfa(mod, dat, verbose = FALSE, nsamp = 3, test = "none")
vt <- vcov(fit, type = "theta")
expect_true(is.matrix(vt))
expect_true(isSymmetric(vt))
})
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