context("survey")

skip_on_cran()

skip_if_not_installed("modeltests")
library(modeltests)

skip_if_not_installed("survey")
library(survey)

skip_if_not_installed("MASS")

data("housing", package = "MASS")
design <- svydesign(ids = ~1, weights = ~Freq, data = housing)
fit <- svyolr(Sat ~ Infl + Type + Cont, design = design)

data("api", package = "survey")
dstrat <- svydesign(
  id = ~1,
  strata = ~stype,
  weights = ~pw,
  data = apistrat,
  fpc = ~fpc
)
fit_svyglm <- svyglm(
  formula = sch.wide ~ ell + meals + mobility,
  design = dstrat,
  family = quasibinomial()
)


test_that("survey tidier arguments", {
  # check_arguments(tidy.svyolr)
  check_arguments(glance.svyolr)
})

test_that("tidy.svyolr", {
  td2 <- tidy(fit, conf.int = TRUE, exponentiate = TRUE)
  check_tidy_output(td2)
})

test_that("glance.svyolr", {
  gl <- glance(fit)
  check_glance_outputs(gl)
  check_dims(gl, 1, 3)
})

test_that("glance.svyglm: make sure `nobs` is there", {
  gl <- glance(fit_svyglm)
  check_glance_outputs(gl)
  check_dims(gl, 1, 7)
  expect_true("nobs" %in% colnames(glance(fit_svyglm)))
})

test_that("conf.int merging regression test (#804)", {
  expect_error(
    tidy(fit_svyglm, conf.int = TRUE),
    NA
  )
})