Nothing
## When covs.hte is a binary factor, rdhte's per-subgroup tau must match
## a plain rdrobust() fit on the same subgroup to machine precision.
## Mirrors the long-standing checkup_rdhte_vs_rdrobust.R shape but pinned
## here so R CMD check exercises it.
test_that("rdhte per-subgroup tau matches rdrobust on the subgroup", {
testthat::skip_if_not_installed("rdrobust")
set.seed(20260509)
n <- 800
x <- runif(n, -1, 1)
W <- rbinom(n, 1, 0.5)
y <- 0.5 + 1.0 * (x >= 0) + 0.5 * x + 2 * W * (x >= 0) + rnorm(n, sd = 0.3)
Wf <- factor(W)
m <- rdhte(y = y, x = x, covs.hte = Wf)
for (lev in c(0, 1)) {
keep <- W == lev
rd <- rdrobust::rdrobust(y = y[keep], x = x[keep],
h = m$h[lev + 1, 1],
b = m$h[lev + 1, 1])
## Conventional point estimate
expect_equal(as.numeric(m$Estimate[lev + 1]),
as.numeric(rd$coef["Conventional", 1]),
tolerance = 1e-10,
label = sprintf("subgroup %d Conventional", lev))
## Bias-corrected
expect_equal(as.numeric(m$Estimate.bc[lev + 1]),
as.numeric(rd$coef["Bias-Corrected", 1]),
tolerance = 1e-10,
label = sprintf("subgroup %d Bias-Corrected", lev))
}
})
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