skip_if_not_installed("geepack") data(warpbreaks) m1 <- geepack::geeglm( breaks ~ tension, id = wool, data = warpbreaks, family = poisson, corstr = "ar1" ) test_that("model_info", { expect_true(model_info(m1)$is_count) expect_false(model_info(m1)$is_linear) }) test_that("find_predictors", { expect_identical(find_predictors(m1), list(conditional = "tension")) expect_identical(find_predictors(m1, flatten = TRUE), "tension") expect_identical( find_predictors(m1, effects = "random"), list(random = "wool") ) expect_identical( find_predictors(m1, effects = "all", flatten = TRUE), c("tension", "wool") ) }) test_that("find_response", { expect_identical(find_response(m1), "breaks") }) test_that("get_varcov", { out <- get_varcov(m1) expect_identical(colnames(out), names(coef(m1))) }) test_that("get_response", { expect_identical(get_response(m1), warpbreaks$breaks) }) test_that("find_random", { expect_identical(find_random(m1), list(random = "wool")) }) test_that("get_random", { expect_equal(get_random(m1), warpbreaks[, "wool", drop = FALSE], ignore_attr = TRUE) }) test_that("get_predictors", { expect_equal(get_predictors(m1), warpbreaks[, "tension", drop = FALSE], ignore_attr = TRUE) }) test_that("link_inverse", { expect_equal(link_inverse(m1)(0.2), exp(0.2), tolerance = 1e-5) }) test_that("get_data", { expect_identical(nrow(get_data(m1)), 54L) expect_named(get_data(m1), c("breaks", "tension", "wool")) }) test_that("find_formula", { expect_length(find_formula(m1), 2) expect_equal( find_formula(m1), list( conditional = as.formula("breaks ~ tension"), random = as.formula("~wool") ), ignore_attr = TRUE ) }) test_that("find_terms", { expect_identical( find_terms(m1), list( response = "breaks", conditional = "tension", random = "wool" ) ) expect_identical( find_terms(m1, flatten = TRUE), c("breaks", "tension", "wool") ) }) test_that("n_obs", { expect_identical(n_obs(m1), 54L) }) test_that("linkfun", { expect_false(is.null(link_function(m1))) }) test_that("find_parameters", { expect_identical( find_parameters(m1), list(conditional = c( "(Intercept)", "tensionM", "tensionH" )) ) expect_identical(nrow(get_parameters(m1)), 3L) expect_identical( get_parameters(m1)$Parameter, c("(Intercept)", "tensionM", "tensionH") ) }) test_that("is_multivariate", { expect_false(is_multivariate(m1)) }) test_that("find_algorithm", { expect_identical(find_algorithm(m1), list(algorithm = "ML")) }) test_that("find_statistic", { expect_identical(find_statistic(m1), "chi-squared statistic") })