skip_on_cran() skip_if_not_installed("quantreg") skip_if_not_installed("interp") ## NOTE Run this test conditionally every now and then, requires package ## "tripack", which has a non-standard license. suppressPackageStartupMessages({ suppressWarnings(suppressMessages(library(quantreg, quietly = TRUE, warn.conflicts = FALSE))) }) data("CobarOre", package = "quantreg") set.seed(123) CobarOre$w <- rnorm(nrow(CobarOre)) # model m1 <- rqss(z ~ w + qss(cbind(x, y), lambda = 0.08), data = CobarOre) test_that("model_info", { expect_true(model_info(m1)$is_linear) }) test_that("find_predictors", { expect_identical( find_predictors(m1), list(conditional = c("w", "x", "y")) ) expect_identical( find_predictors(m1, flatten = TRUE), c("w", "x", "y") ) 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), "z") }) test_that("find_formula", { expect_length(find_formula(m1), 1) expect_equal( find_formula(m1), list(conditional = as.formula("z ~ w + qss(cbind(x, y), lambda = 0.08)")), ignore_attr = TRUE ) }) test_that("find_terms", { expect_equal( find_terms(m1), list(response = "z", conditional = c("w", "qss(cbind(x, y), lambda = 0.08)")) ) expect_equal( find_terms(m1, flatten = TRUE), c("z", "w", "qss(cbind(x, y), lambda = 0.08)") ) }) test_that("n_obs", { expect_equal(n_obs(m1), 38) }) test_that("link_function", { expect_equal(link_function(m1)(0.2), 0.2, tolerance = 1e-5) }) test_that("link_inverse", { expect_equal(link_inverse(m1)(0.2), 0.2, tolerance = 1e-5) }) test_that("find_parameters", { expect_equal( find_parameters(m1), list(conditional = c("(Intercept)", "w"), smooth_terms = "cbind(x, y)") ) expect_equal(nrow(get_parameters(m1)), 3) expect_equal( get_parameters(m1)$Parameter, c("(Intercept)", "w", "cbind(x, y)") ) }) test_that("is_multivariate", { expect_false(is_multivariate(m1)) }) test_that("find_algorithm", { expect_equal(find_algorithm(m1), list(algorithm = "sfn")) }) test_that("find_statistic", { expect_identical(find_statistic(m1), "t-statistic") })