Nothing
test_that("process information reports posterior uncertainty reduction", {
set.seed(1)
b <- matrix(rnorm(4000, sd=1), ncol=2)
a <- matrix(rnorm(4000, sd=.7), ncol=2)
colnames(b) <- colnames(a) <- c("p1","p2")
z <- process_information(b, a, "variance_reduction")
expect_s3_class(z, "eye_process_information")
expect_true(all(z$value > 0))
expect_true(all(z$relative_variance_reduction > 0))
})
test_that("channel ablation retains stable measurement rows", {
sim <- simulate_multimodal_irt(n_person=15,n_item=5,seed=3)
ab <- ablate_multimodal_channels(sim$measurement)
expect_s3_class(ab, "eye_multimodal_ablation")
expect_equal(length(ab$scenarios), 8)
n <- vapply(ab$scenarios, function(z) nrow(z$data), integer(1))
expect_true(length(unique(n)) == 1L)
})
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