Nothing
# Test print/summary output structure (platform-independent)
test_that("metafrontier print output has correct structure", {
sim <- simulate_metafrontier(n_groups = 2, n_per_group = 50, seed = 90)
fit <- metafrontier(log_y ~ log_x1 + log_x2,
data = sim$data, group = "group",
method = "sfa")
out <- capture.output(print(fit))
expect_true(any(grepl("Metafrontier Model", out)))
expect_true(any(grepl("Method:", out)))
expect_true(any(grepl("Groups:", out)))
expect_true(any(grepl("Total obs:", out)))
expect_true(any(grepl("Mean TGR by group:", out)))
expect_true(any(grepl("G1", out)))
expect_true(any(grepl("G2", out)))
})
test_that("metafrontier summary output has correct structure", {
sim <- simulate_metafrontier(n_groups = 2, n_per_group = 50, seed = 90)
fit <- metafrontier(log_y ~ log_x1 + log_x2,
data = sim$data, group = "group",
method = "sfa")
out <- capture.output(summary(fit))
expect_true(any(grepl("Metafrontier Model Summary", out)))
expect_true(any(grepl("Call:", out)))
expect_true(any(grepl("Efficiency Decomposition", out)))
expect_true(any(grepl("Technology Gap Ratio Summary", out)))
expect_true(any(grepl("Mean_TE", out)))
expect_true(any(grepl("Mean_TGR", out)))
})
test_that("malmquist_meta print output has correct structure", {
panels <- lapply(1:2, function(t) {
sim <- simulate_metafrontier(n_groups = 2, n_per_group = 20,
tech_gap = c(0, 0.3 + 0.05 * t),
seed = 90 + t)
sim$data$time <- t
sim$data$id <- seq_len(nrow(sim$data))
sim$data
})
pd <- do.call(rbind, panels)
malm <- malmquist_meta(log_y ~ log_x1 + log_x2,
data = pd, group = "group", time = "time")
out <- capture.output(print(malm))
expect_true(any(grepl("Metafrontier Malmquist", out)))
expect_true(any(grepl("Orientation:", out)))
expect_true(any(grepl("RTS:", out)))
expect_true(any(grepl("MPI", out)))
expect_true(any(grepl("TEC", out)))
expect_true(any(grepl("TGC", out)))
})
test_that("malmquist_meta summary output has correct structure", {
panels <- lapply(1:2, function(t) {
sim <- simulate_metafrontier(n_groups = 2, n_per_group = 20,
tech_gap = c(0, 0.3 + 0.05 * t),
seed = 90 + t)
sim$data$time <- t
sim$data$id <- seq_len(nrow(sim$data))
sim$data
})
pd <- do.call(rbind, panels)
malm <- malmquist_meta(log_y ~ log_x1 + log_x2,
data = pd, group = "group", time = "time")
out <- capture.output(summary(malm))
expect_true(any(grepl("Three-Way Decomposition", out)))
expect_true(any(grepl("Technology Gap Ratios", out)))
expect_true(any(grepl("Group:", out)))
})
test_that("DEA metafrontier print output has correct structure", {
sim <- simulate_metafrontier(n_groups = 2, n_per_group = 30, seed = 90)
fit <- metafrontier(log_y ~ log_x1 + log_x2,
data = sim$data, group = "group",
method = "dea")
out <- capture.output(print(fit))
expect_true(any(grepl("Metafrontier Model", out)))
expect_true(any(grepl("dea", out)))
expect_true(any(grepl("Mean TGR", out)))
})
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