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)
  }
}
