Nothing
# Equivalence check against frontier::sfa()
# The package's custom MLE should match frontier::sfa() slope and intercept
# estimates to within 1e-4 on the same simulated data.
skip_if_not_installed("frontier")
test_that("group SFA coefficients match frontier::sfa() to 1e-4", {
sim <- simulate_metafrontier(n_groups = 3, n_per_group = 150,
tech_gap = c(0, 0.3, 0.5), seed = 42)
dat <- sim$data
fit_mf <- metafrontier(log_y ~ log_x1 + log_x2, data = dat,
group = "group", method = "sfa",
meta_type = "deterministic")
for (g in c("G2", "G3")) {
dat_g <- dat[dat$group == g, , drop = FALSE]
f_g <- frontier::sfa(log_y ~ log_x1 + log_x2, data = dat_g)
b_mf <- coef(fit_mf$group_models[[g]])
b_fr <- coef(f_g)[names(b_mf)]
expect_lt(max(abs(b_mf - b_fr)), 1e-4,
label = paste("max |coef diff| for group", g))
}
})
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