Nothing
test_that("fect formula basic runs on simdata and returns expected slots", {
suppressWarnings(try(data("simdata", package = "fect"), silent = TRUE))
expect_true(exists("simdata"))
set.seed(1)
out <- fect::fect(
Y ~ D + X1 + X2,
data = simdata,
index = c("id", "time"),
method = "ife",
r = 2,
CV = FALSE,
se = FALSE,
parallel = FALSE
)
expect_s3_class(out, "fect")
expect_true(is.matrix(out$eff))
expect_true(is.numeric(out$att.avg))
expect_true(length(out$time) >= 1)
})
test_that("fect returns est.att and att.vcov when se=TRUE", {
## Bootstrap-based test: too slow for CRAN's test budget. The fast
## smoke test above already exercises end-to-end fitting; this one
## additionally validates the SE / CI surface.
skip_on_cran()
suppressWarnings(try(data("simdata", package = "fect"), silent = TRUE))
expect_true(exists("simdata"))
set.seed(2)
out <- fect::fect(
Y ~ D + X1 + X2,
data = simdata,
index = c("id", "time"),
method = "ife",
r = 1,
CV = FALSE,
se = TRUE,
nboots = 30,
parallel = FALSE
)
expect_true(!is.null(out$est.att))
expect_true(!is.null(out$att.vcov))
expect_true(all(colnames(out$est.att) %in% c("ATT", "S.E.", "CI.lower", "CI.upper", "p.value", "count")))
})
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