skip_if_not_installed("crch") data("RainIbk", package = "crch") RainIbk$sqrtensmean <<- apply(sqrt(RainIbk[, grep("^rainfc", names(RainIbk))]), 1, mean) RainIbk$sqrtenssd <<- apply(sqrt(RainIbk[, grep("^rainfc", names(RainIbk))]), 1, sd) m1 <- crch::crch(sqrt(rain) ~ sqrtensmean, data = RainIbk, dist = "gaussian") test_that("model_info", { expect_false(model_info(m1)$is_linear) expect_true(model_info(m1)$is_censored) }) test_that("find_predictors", { expect_identical(find_predictors(m1), list(conditional = c("sqrtensmean"))) expect_identical(find_predictors(m1, flatten = TRUE), c("sqrtensmean")) 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), "rain") }) test_that("get_response", { expect_equal(get_response(m1), RainIbk$rain) }) test_that("get_predictors", { expect_equal(colnames(get_predictors(m1)), c("sqrtensmean")) }) test_that("link_inverse", { expect_equal(link_inverse(m1)(0.2), 0.2, tolerance = 1e-5) }) test_that("get_data", { expect_equal(nrow(get_data(m1)), 4971) expect_equal(colnames(get_data(m1)), c("rain", "sqrtensmean")) }) test_that("find_formula", { expect_length(find_formula(m1), 1) expect_equal( find_formula(m1), list(conditional = as.formula("sqrt(rain) ~ sqrtensmean")), ignore_attr = TRUE ) }) test_that("find_terms", { expect_equal( find_terms(m1), list( response = "sqrt(rain)", conditional = c("sqrtensmean") ) ) expect_equal( find_terms(m1, flatten = TRUE), c("sqrt(rain)", "sqrtensmean") ) }) test_that("find_variables", { expect_equal( find_variables(m1), list( response = "rain", conditional = c("sqrtensmean") ) ) expect_equal( find_variables(m1, flatten = TRUE), c("rain", "sqrtensmean") ) }) test_that("n_obs", { expect_equal(n_obs(m1), 4971) }) test_that("linkfun", { expect_false(is.null(link_function(m1))) }) test_that("find_parameters", { expect_equal( find_parameters(m1), list( conditional = c("(Intercept)", "sqrtensmean", "(scale)_(Intercept)") ) ) expect_equal(nrow(get_parameters(m1)), 3) expect_equal( get_parameters(m1)$Parameter, c("(Intercept)", "sqrtensmean", "(scale)_(Intercept)") ) }) test_that("is_multivariate", { expect_false(is_multivariate(m1)) }) test_that("find_statistic", { expect_identical(find_statistic(m1), "z-statistic") })