skip_if_not_installed("gam") s <- gam::s data(kyphosis, package = "rpart") void <- capture.output(m1 <- gam::gam( Kyphosis ~ s(Age, 4) + Number, family = binomial, data = kyphosis, trace = TRUE )) test_that("model_info", { expect_true(model_info(m1)$is_binomial) expect_false(model_info(m1)$is_linear) }) test_that("find_predictors", { expect_identical(find_predictors(m1), list(conditional = c("Age", "Number"))) expect_identical(find_predictors(m1, flatten = TRUE), c("Age", "Number")) expect_null(find_predictors(m1, effects = "random")) }) test_that("find_response", { expect_identical(find_response(m1), "Kyphosis") }) test_that("link_inverse", { expect_equal(link_inverse(m1)(0.2), plogis(0.2), tolerance = 1e-5) }) test_that("get_data", { expect_equal(nrow(get_data(m1)), 81) expect_equal(colnames(get_data(m1)), c("Kyphosis", "Age", "Number")) }) test_that("find_formula", { expect_length(find_formula(m1), 1) expect_equal( find_formula(m1), list(conditional = as.formula("Kyphosis ~ s(Age, 4) + Number")), ignore_attr = TRUE ) }) test_that("find_terms", { expect_equal( find_terms(m1), list( response = "Kyphosis", conditional = c("s(Age, 4)", "Number") ) ) expect_equal( find_terms(m1, flatten = TRUE), c("Kyphosis", "s(Age, 4)", "Number") ) }) test_that("find_variables", { expect_equal( find_variables(m1), list( response = "Kyphosis", conditional = c("Age", "Number") ) ) expect_equal( find_variables(m1, flatten = TRUE), c("Kyphosis", "Age", "Number") ) }) test_that("n_obs", { expect_equal(n_obs(m1), 81) }) test_that("linkfun", { expect_false(is.null(link_function(m1))) }) test_that("find_parameters", { expect_equal( find_parameters(m1), list( conditional = c("(Intercept)", "Number"), smooth_terms = "s(Age, 4)" ) ) expect_equal(nrow(get_parameters(m1)), 3) expect_equal( get_parameters(m1)$Parameter, c("(Intercept)", "Number", "s(Age, 4)") ) }) test_that("is_multivariate", { expect_false(is_multivariate(m1)) }) test_that("find_algorithm", { expect_equal(find_algorithm(m1), list(algorithm = "IWLS")) }) test_that("find_statistic", { expect_identical(find_statistic(m1), "F-statistic") })