if (requiet("panelr")) {
data("WageData")
wages <- panel_data(WageData, id = id, wave = t)
m1 <- wbm(lwage ~ lag(union) + wks | blk + fem | blk * lag(union), data = wages)
m2 <- wbm(lwage ~ lag(union) + wks | blk + t | (t | id), data = wages)
test_that("model_info", {
expect_true(model_info(m1)$is_linear)
expect_true(model_info(m2)$is_linear)
})
test_that("find_predictors", {
expect_identical(
find_predictors(m1),
list(
conditional = c("union", "wks"),
instruments = c("blk", "fem"),
interactions = c("blk", "union")
)
)
expect_identical(
find_predictors(m1, flatten = TRUE),
c("union", "wks", "blk", "fem")
)
expect_null(find_predictors(m1, effects = "random"))
expect_identical(
find_predictors(m2),
list(
conditional = c("union", "wks"),
instruments = c("blk", "t")
)
)
expect_identical(find_predictors(m2, effects = "random"), list(random = "id"))
})
test_that("find_random", {
expect_null(find_random(m1))
expect_identical(find_random(m2), list(random = "id"))
})
test_that("get_random", {
expect_warning(expect_null(get_random(m1)))
expect_equal(get_random(m2)[[1]], model.frame(m2)$id)
})
test_that("find_response", {
expect_identical(find_response(m1), "lwage")
})
test_that("get_response", {
expect_equal(get_response(m1), model.frame(m1)$lwage)
})
test_that("get_predictors", {
expect_equal(
colnames(get_predictors(m1)),
c("lag(union)", "wks", "blk", "fem")
)
expect_equal(
colnames(get_predictors(m2)),
c("lag(union)", "wks", "blk", "t")
)
})
test_that("link_inverse", {
expect_equal(link_inverse(m1)(0.2), 0.2, tolerance = 1e-5)
})
test_that("clean_parameters", {
cp <- clean_parameters(m1)
expect_equal(
cp$Cleaned_Parameter,
c(
"union", "wks", "(Intercept)", "imean(lag(union))", "imean(wks)",
"blk", "fem", "union:blk"
)
)
expect_equal(
cp$Component,
c(
"conditional", "conditional", "instruments", "instruments",
"instruments", "instruments", "instruments", "interactions"
)
)
})
test_that("get_data", {
expect_equal(nrow(get_data(m1)), 3570)
expect_equal(
colnames(get_data(m1)),
c(
"lwage",
"id",
"t",
"lag(union)",
"wks",
"blk",
"fem",
"imean(lag(union))",
"imean(wks)",
"imean(lag(union):blk)",
"lag(union):blk"
)
)
expect_equal(
colnames(get_data(m2)),
c(
"lwage",
"id",
"t",
"lag(union)",
"wks",
"blk",
"imean(lag(union))",
"imean(wks)"
)
)
})
test_that("find_formula", {
expect_length(find_formula(m1), 3)
expect_equal(
find_formula(m1),
list(
conditional = as.formula("lwage ~ lag(union) + wks"),
instruments = as.formula("~blk + fem"),
interactions = as.formula("~blk * lag(union)")
),
ignore_attr = TRUE
)
expect_equal(
find_formula(m2),
list(
conditional = as.formula("lwage ~ lag(union) + wks"),
instruments = as.formula("~blk + t"),
random = as.formula("~t | id")
),
ignore_attr = TRUE
)
})
test_that("find_variables", {
expect_equal(
find_variables(m1),
list(
response = "lwage",
conditional = c("union", "wks"),
instruments = c("blk", "fem"),
interactions = c("blk", "union")
)
)
expect_equal(
find_variables(m1, flatten = TRUE),
c("lwage", "union", "wks", "blk", "fem")
)
expect_equal(
find_variables(m2),
list(
response = "lwage",
conditional = c("union", "wks"),
instruments = c("blk", "t"),
random = "id"
)
)
expect_equal(
find_variables(m2, flatten = TRUE),
c("lwage", "union", "wks", "blk", "t", "id")
)
})
test_that("n_obs", {
expect_equal(n_obs(m1), 3570)
expect_equal(n_obs(m2), 3570)
})
test_that("linkfun", {
expect_false(is.null(link_function(m1)))
})
test_that("find_parameters", {
expect_equal(
find_parameters(m1),
list(
conditional = c("lag(union)", "wks"),
instruments = c("(Intercept)", "imean(lag(union))", "imean(wks)", "blk", "fem"),
random = "lag(union):blk"
)
)
expect_equal(nrow(get_parameters(m1)), 8)
expect_equal(
find_parameters(m2),
list(
conditional = c("lag(union)", "wks"),
instruments = c("(Intercept)", "imean(lag(union))", "imean(wks)", "blk", "t")
)
)
})
test_that("get_parameters", {
expect_equal(
get_parameters(m1),
data.frame(
Parameter = c(
"lag(union)",
"wks",
"(Intercept)",
"imean(lag(union))",
"imean(wks)",
"blk",
"fem",
"lag(union):blk"
),
Estimate = c(
0.0582474262882615, -0.00163678667081885, 6.59813245629044,
-0.0279959204722801, 0.00438047648390025, -0.229414915661438,
-0.441756913071962, -0.127319623945541
),
Component = c(
"within", "within", "between", "between",
"between", "between", "between", "interactions"
),
stringsAsFactors = FALSE
),
tolerance = 1e-4
)
})
test_that("find_terms", {
expect_equal(
find_terms(m1),
list(
response = "lwage",
conditional = c("lag(union)", "wks"),
instruments = c("blk", "fem"),
interactions = c("blk", "lag(union)")
)
)
expect_equal(
find_terms(m2),
list(
response = "lwage",
conditional = c("lag(union)", "wks"),
instruments = c("blk", "t"),
random = c("t", "id")
)
)
})
test_that("is_multivariate", {
expect_false(is_multivariate(m1))
})
test_that("find_statistic", {
expect_identical(find_statistic(m1), "t-statistic")
expect_identical(find_statistic(m2), "t-statistic")
})
.runThisTest <- Sys.getenv("RunAllinsightTests") == "yes"
if (.runThisTest) {
v <- get_variance(m1)
expect_equal(v$var.intercept, c(id = 0.125306895731005), tolerance = 1e-4)
expect_equal(v$var.fixed, 0.0273792999320531, tolerance = 1e-4)
}
}
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