context("CBPS integration")
test_that("internal predict.CBPS function", {
if (requireNamespace('CBPS', quietly = TRUE)) {
cpsm <- CBPS::CBPS(pr ~ date + t1 + t2 + cap + ne + ct + bw + cum.n, ATT = 0, data = nuclearplants)
expect_true(is(fullmatch(cpsm, data = nuclearplants), "optmatch"))
# Check recognition of type argument.
mo0 <- match_on(cpsm, data=nuclearplants)
mo1 <- match_on(cpsm, data=nuclearplants, type="link")
expect_equivalent(mo0,mo1)
expect_equivalent(fullmatch(mo0, data=nuclearplants), fullmatch(cpsm, data=nuclearplants))
mo2 <- match_on(cpsm, data=nuclearplants, type="response")
expect_false(isTRUE(all.equal(mo1, mo2, check.attributes =FALSE)))
expect_equivalent(fullmatch(mo2, data=nuclearplants), fullmatch(cpsm, data=nuclearplants, type="response"))
# See if scores is properly imputing.
nuclearplants$t1[c(2,5,10)] <- NA
nuclearplants$ne[c(6,25,23)] <- NA
cpsm <- CBPS::CBPS(pr ~ date + t1 + t2 + cap + ne + ct + bw + cum.n, ATT = 0, data = nuclearplants)
expect_true(length(fullmatch(cpsm, data = nuclearplants)) == nrow(nuclearplants))
} else {
expect_true(TRUE) # avoiding empty test warning
}
})
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