revdep/checks.noindex/insight/old/insight.Rcheck/tests/testthat/test-plm.R

.runThisTest <- Sys.getenv("RunAllinsightTests") == "yes"

if (.runThisTest || Sys.getenv("USER") == "travis") {
  if (require("testthat") && require("insight") && require("plm")) {
    context("insight, model_info")

    data(Crime)
    m1 <- plm(lcrmrte ~ lprbarr + factor(year) | . - lprbarr + lmix, data = Crime, model = "random")

    # data
    set.seed(123)
    data("Produc", package = "plm")

    # model
    m2 <- plm::plm(
      formula = log(gsp) ~ log(pcap) + log(pc) + log(emp) + unemp,
      data = Produc,
      index = c("state", "year")
    )

    test_that("model_info", {
      expect_true(model_info(m1)$is_linear)
    })

    test_that("find_predictors", {
      expect_identical(
        find_predictors(m1),
        list(
          conditional = c("lprbarr", "year"),
          instruments = c("lprbarr", "lmix")
        )
      )
      expect_identical(
        find_predictors(m1, flatten = TRUE),
        c("lprbarr", "year", "lmix")
      )
      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), "lcrmrte")
    })

    test_that("get_response", {
      expect_equal(get_response(m1), Crime$lcrmrte)
    })

    test_that("get_predictors", {
      expect_equal(colnames(get_predictors(m1)), c("lprbarr", "year", "lmix"))
    })

    test_that("link_inverse", {
      expect_equal(link_inverse(m1)(.2), .2, tolerance = 1e-5)
    })

    test_that("get_data", {
      expect_equal(nrow(get_data(m1)), 630)
      expect_equal(
        colnames(get_data(m1)),
        c("lcrmrte", "lprbarr", "year", "lmix")
      )

      expect_equal(nrow(get_data(m2)), 816)
      expect_equal(
        colnames(get_data(m2)),
        c("gsp", "pcap", "pc", "emp", "unemp", "state", "year")
      )
    })

    test_that("find_formula", {
      expect_length(find_formula(m1), 2)
      expect_equal(
        find_formula(m1),
        list(
          conditional = as.formula("lcrmrte ~ lprbarr + factor(year)"),
          instruments = as.formula("~-lprbarr + lmix")
        )
      )
    })

    test_that("find_variables", {
      expect_equal(
        find_variables(m1),
        list(
          response = "lcrmrte",
          conditional = c("lprbarr", "year"),
          instruments = c("lprbarr", "lmix")
        )
      )
      expect_equal(
        find_variables(m1, flatten = TRUE),
        c("lcrmrte", "lprbarr", "year", "lmix")
      )
    })

    test_that("n_obs", {
      expect_equal(n_obs(m1), 630)
    })

    test_that("linkfun", {
      expect_false(is.null(link_function(m1)))
    })

    test_that("find_parameters", {
      expect_equal(
        find_parameters(m1),
        list(
          conditional = c(
            "(Intercept)",
            "lprbarr",
            "factor(year)82",
            "factor(year)83",
            "factor(year)84",
            "factor(year)85",
            "factor(year)86",
            "factor(year)87"
          )
        )
      )
      expect_equal(nrow(get_parameters(m1)), 8)
    })

    test_that("is_multivariate", {
      expect_false(is_multivariate(m1))
    })

    test_that("find_statistic", {
      expect_identical(find_statistic(m1), "z-statistic")
      expect_identical(find_statistic(m2), "t-statistic")
    })
  }
}
gbm-developers/gbm documentation built on Feb. 16, 2024, 6:13 p.m.