Nothing
test_that("run_mfrm_facets returns legacy-compatible workflow bundle", {
old_opt <- options(lifecycle_verbosity = "quiet")
on.exit(options(old_opt), add = TRUE)
d <- mfrmr:::sample_mfrm_data(seed = 321)
out <- suppressWarnings(
mfrmr::run_mfrm_facets(
data = d,
person = "Person",
facets = c("Rater", "Task", "Criterion"),
score = "Score",
maxit = 20,
top_n_interactions = 10
)
)
expect_s3_class(out, "mfrm_facets_run")
expect_true(all(c("fit", "diagnostics", "iteration", "fair_average", "rating_scale", "run_info", "mapping") %in% names(out)))
expect_true(is.data.frame(out$run_info))
expect_equal(out$fit$summary$Model[[1]], "RSM")
expect_equal(out$fit$summary$Method[[1]], "JMLE")
out_summary <- summary(out, top_n = 5)
expect_s3_class(out_summary, "summary.mfrm_facets_run")
printed <- capture.output(print(out_summary))
expect_true(any(grepl("Legacy-compatible Workflow Summary", printed, fixed = TRUE)))
p_fit <- plot(out, type = "fit", draw = FALSE)
expect_s3_class(p_fit, "mfrm_plot_bundle")
p_qc <- plot(out, type = "qc", draw = FALSE)
expect_s3_class(p_qc, "mfrm_plot_data")
})
test_that("mfrmRFacets alias routes to run_mfrm_facets", {
old_opt <- options(lifecycle_verbosity = "quiet")
on.exit(options(old_opt), add = TRUE)
d <- mfrmr:::sample_mfrm_data(seed = 999)
a <- suppressWarnings(
mfrmr::run_mfrm_facets(
data = d,
person = "Person",
facets = c("Rater", "Task", "Criterion"),
score = "Score",
maxit = 15
)
)
b <- suppressWarnings(
mfrmr::mfrmRFacets(
data = d,
person = "Person",
facets = c("Rater", "Task", "Criterion"),
score = "Score",
maxit = 15
)
)
expect_equal(a$mapping, b$mapping)
expect_equal(a$fit$summary$Model[[1]], b$fit$summary$Model[[1]])
expect_equal(a$fit$summary$Method[[1]], b$fit$summary$Method[[1]])
})
test_that("run_mfrm_facets accepts method/model options", {
old_opt <- options(lifecycle_verbosity = "quiet")
on.exit(options(old_opt), add = TRUE)
d <- mfrmr:::sample_mfrm_data(seed = 2026)
out_mml <- suppressWarnings(
mfrmr::run_mfrm_facets(
data = d,
person = "Person",
facets = c("Rater", "Task", "Criterion"),
score = "Score",
model = "RSM",
method = "MML",
quad_points = 7,
maxit = 15
)
)
expect_equal(out_mml$fit$summary$Model[[1]], "RSM")
expect_equal(out_mml$fit$summary$Method[[1]], "MML")
})
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