skip_if_not_installed("pscl") data(bioChemists, package = "pscl") m1 <- pscl::hurdle(art ~ fem + mar + kid5 + ment | kid5 + phd, data = bioChemists) test_that("model_info", { expect_true(model_info(m1)$is_poisson) expect_true(model_info(m1)$is_zero_inflated) expect_false(model_info(m1)$is_linear) }) test_that("find_predictors", { expect_identical( find_predictors(m1), list( conditional = c("fem", "mar", "kid5", "ment"), zero_inflated = c("kid5", "phd") ) ) expect_identical( find_predictors(m1, flatten = TRUE), c("fem", "mar", "kid5", "ment", "phd") ) expect_null(find_predictors(m1, effects = "random")) }) test_that("find_response", { expect_identical(find_response(m1), "art") }) test_that("get_response", { expect_equal(get_response(m1), bioChemists$art) }) test_that("link_inverse", { expect_equal(link_inverse(m1)(0.2), exp(0.2), tolerance = 1e-5) }) test_that("get_data", { expect_equal(nrow(get_data(m1)), 915) expect_equal( colnames(get_data(m1)), c("art", "fem", "mar", "kid5", "ment", "phd") ) }) test_that("get_df", { expect_equal( get_df(m1, type = "residual"), df.residual(m1), ignore_attr = TRUE ) expect_equal( get_df(m1, type = "normal"), Inf, ignore_attr = TRUE ) expect_equal( get_df(m1, type = "wald"), Inf, ignore_attr = TRUE ) }) test_that("find_formula", { expect_length(find_formula(m1), 2) expect_equal( find_formula(m1), list( conditional = as.formula("art ~ fem + mar + kid5 + ment"), zero_inflated = as.formula("~kid5 + phd") ), ignore_attr = TRUE ) }) test_that("find_variables", { expect_equal( find_variables(m1), list( response = "art", conditional = c("fem", "mar", "kid5", "ment"), zero_inflated = c("kid5", "phd") ) ) expect_equal( find_variables(m1, flatten = TRUE), c("art", "fem", "mar", "kid5", "ment", "phd") ) }) test_that("n_obs", { expect_equal(n_obs(m1), 915) }) test_that("linkfun", { expect_false(is.null(link_function(m1))) }) test_that("find_parameters", { expect_equal( find_parameters(m1), list( conditional = c( "count_(Intercept)", "count_femWomen", "count_marMarried", "count_kid5", "count_ment" ), zero_inflated = c("zero_(Intercept)", "zero_kid5", "zero_phd") ) ) expect_equal(nrow(get_parameters(m1)), 8) expect_equal(nrow(get_parameters(m1, component = "zi")), 3) expect_equal( get_parameters(m1)$Parameter, c( "count_(Intercept)", "count_femWomen", "count_marMarried", "count_kid5", "count_ment", "zero_(Intercept)", "zero_kid5", "zero_phd" ) ) }) test_that("is_multivariate", { expect_false(is_multivariate(m1)) }) test_that("find_terms", { expect_equal( find_terms(m1), list( response = "art", conditional = c("fem", "mar", "kid5", "ment"), zero_inflated = c("kid5", "phd") ) ) }) test_that("find_statistic", { expect_identical(find_statistic(m1), "z-statistic") })