if (requiet("estimatr")) {
data(mtcars)
m1 <- iv_robust(mpg ~ gear + cyl | carb + wt, data = mtcars)
test_that("model_info", {
expect_true(model_info(m1)$is_linear)
})
test_that("find_predictors", {
expect_identical(
find_predictors(m1),
list(
conditional = c("gear", "cyl"),
instruments = c("carb", "wt")
)
)
expect_identical(
find_predictors(m1, component = "instruments"),
list(instruments = c("carb", "wt"))
)
expect_identical(
find_predictors(m1, flatten = TRUE),
c("gear", "cyl", "carb", "wt")
)
expect_null(find_predictors(m1, effects = "random"))
})
test_that("find_random", {
expect_null(find_random(m1))
})
test_that("get_random", {
expect_warning(get_random(m1))
})
test_that("find_response", {
expect_identical(find_response(m1), "mpg")
})
test_that("get_response", {
expect_equal(get_response(m1), mtcars$mpg)
})
test_that("get_predictors", {
expect_equal(colnames(get_predictors(m1)), c("gear", "cyl", "carb", "wt"))
})
test_that("get_data", {
expect_equal(nrow(get_data(m1)), 32)
expect_equal(
colnames(get_data(m1)),
c("mpg", "gear", "cyl", "carb", "wt")
)
})
test_that("find_formula", {
expect_length(find_formula(m1), 2)
expect_equal(
find_formula(m1),
list(
conditional = as.formula("mpg ~ gear + cyl"),
instruments = as.formula("~carb + wt")
),
ignore_attr = TRUE
)
})
test_that("find_terms", {
expect_equal(
find_terms(m1),
list(
response = "mpg",
conditional = c("gear", "cyl"),
instruments = c("carb", "wt")
)
)
expect_equal(
find_terms(m1, flatten = TRUE),
c("mpg", "gear", "cyl", "carb", "wt")
)
})
test_that("n_obs", {
expect_equal(n_obs(m1), 32)
})
test_that("link_function", {
expect_equal(link_function(m1)(0.2), 0.2, tolerance = 1e-5)
})
test_that("link_inverse", {
expect_equal(link_inverse(m1)(0.2), 0.2, tolerance = 1e-5)
})
test_that("find_parameters", {
expect_equal(
find_parameters(m1),
list(conditional = c("(Intercept)", "gear", "cyl"))
)
expect_equal(nrow(get_parameters(m1)), 3)
expect_equal(
get_parameters(m1)$Parameter,
c("(Intercept)", "gear", "cyl")
)
})
test_that("is_multivariate", {
expect_false(is_multivariate(m1))
})
test_that("find_algorithm", {
expect_warning(expect_null(find_algorithm(m1)))
})
test_that("find_statistic", {
expect_identical(find_statistic(m1), "t-statistic")
})
if (requiet("ivreg")) {
data("CigaretteDemand", package = "ivreg")
m2 <- iv_robust(
log(packs) ~ log(rprice) + log(rincome) | salestax + log(rincome),
data = CigaretteDemand
)
m3 <- iv_robust(
packs ~ log(rprice) + log(rincome) | salestax + log(rincome),
data = CigaretteDemand
)
m4 <- lm_robust(
log(packs) ~ log(rprice) + log(rincome) | salestax + log(rincome),
data = CigaretteDemand
)
m5 <- lm_robust(
packs ~ log(rprice) + log(rincome) | salestax + log(rincome),
data = CigaretteDemand
)
test_that("get_loglikelihood", {
expect_equal(as.numeric(get_loglikelihood(m2)), -286.56173, tolerance = 1e-3)
expect_equal(as.numeric(get_loglikelihood(m3)), -206.39546, tolerance = 1e-3)
expect_equal(as.numeric(get_loglikelihood(m4)), -286.55949, tolerance = 1e-3)
expect_equal(as.numeric(get_loglikelihood(m5)), -205.63306, tolerance = 1e-3)
})
}
}
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