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# tests of mira methods for linearHypothesis(), Anova(), deltaMethod()
# last modified 2018-08-31
if (require(mice) && require(carEx)){
nhanes2$age <- factor(nhanes2$age, labels=c("age20.39", "40.59", "60.99"))
imps <- mice(nhanes2, m=10, print=FALSE, seed=12345)
mods.1 <- with(imps, lm(chl ~ age + bmi))
mods.2 <- with(imps, lm(chl ~ bmi))
l.1 <- linearHypothesis(mods.1, c("age40.59", "age60.99"))
m.1 <- D1(mods.1, mods.2)
a.1 <- Anova(mods.1)
l.2 <- linearHypothesis(mods.1, "bmi")
d.2 <- deltaMethod(mods.1, "bmi")
if (!isTRUE(all.equal(as.vector(m.1$result[, "F.value"]), l.1[, "F"])))
stop("failed test 1-1a")
if (!isTRUE(all.equal(as.vector(m.1$result[, "df2"]), l.1[, "den df"])))
stop("failed test 1-1b")
if (!isTRUE(all.equal(l.1[, "F"], a.1[1, "F"])))
stop("failed test 1-2")
if (!isTRUE(all.equal(l.2[, "F"], (d.2[, "Estimate"]/d.2[, "SE"])^2)))
stop("failed test 1-3")
if (!isTRUE(all.equal(summary(pool(mods.1))[, "estimate"], as.vector(coef(mods.1)))))
stop("failed test 1-4")
if (!isTRUE(all.equal(summary(pool(mods.1))[, "std.error"], as.vector(sqrt(diag(vcov(mods.1)))))))
stop("failed test 1-5")
}
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