Nothing
# bring.mirt() needs the suggested mirt package, so skip when it is missing
test_that("bring.mirt() returns the item metadata of a fitted mirt model", {
skip_if_not_installed("mirt")
# fit the 2PL model to the LSAT6 data with mirt
fit <- suppressMessages(
mirt::mirt(as.data.frame(LSAT6), 1, itemtype = "2PL", verbose = FALSE)
)
out <- bring.mirt(fit)
meta <- out$full_df
# one row per item, with the item metadata columns
expect_s3_class(meta, "data.frame")
expect_equal(nrow(meta), 5L)
expect_true(all(c("id", "cats", "model", "par.1", "par.2") %in% names(meta)))
expect_true(all(meta$cats == 2L))
expect_true(all(meta$model == "DRM"))
})
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