## Test confint() methods var_nms <- c(".estimate", ".se", ".crit", ".lower_ci", ".upper_ci") ## first derivatives of all smooths... test_that("Point-wise confidence interval for a first derivatives of a GAM works", { skip_if_not_installed("withr") withr::local_options(lifecycle_verbosity = "quiet") fd <- fderiv(m_gam) ci <- confint(fd, type = "confidence") expect_s3_class(ci, "confint.fderiv") expect_s3_class(ci, "data.frame") expect_named(ci, expected = c("term", "lower", "est", "upper")) expect_warning(confint(fd, level = c(0.95, 0.8), type = "confidence")) expect_error(confint(fd, parm = "s(x4)", type = "confidence")) }) test_that("Simultaneous interval for a first derivatives of a GAM works", { skip_if_not_installed("withr") withr::local_options(lifecycle_verbosity = "quiet") fd <- fderiv(m_gam) ci <- withr::with_seed( 42, confint(fd, parm = "x1", type = "simultaneous", nsim = 1000) ) expect_s3_class(ci, "confint.fderiv") expect_s3_class(ci, "data.frame") expect_named(ci, expected = c("term", "lower", "est", "upper")) }) test_that("Point-wise confidence interval for a GAM works", { skip_if_not_installed("withr") withr::local_options(lifecycle_verbosity = "quiet") ci <- confint(m_gam, parm = "s(x1)", type = "confidence") expect_s3_class(ci, "confint.gam") expect_s3_class(ci, "tbl_df") expect_named(ci, expected = c(".smooth", ".type", ".by", "x1", var_nms)) }) test_that("Simultaneous interval for a GAM works", { skip_if_not_installed("withr") withr::local_options(lifecycle_verbosity = "quiet") ci <- withr::with_seed( 42, confint(m_gam, parm = "s(x1)", type = "simultaneous", nsim = 100) ) expect_s3_class(ci, "confint.gam") expect_s3_class(ci, "tbl_df") expect_named(ci, expected = c(".smooth", ".type", ".by", "x1", var_nms)) }) ## 2d smooth test_that("Point-wise confidence interval for a 2d smooth works", { skip_if_not_installed("withr") withr::local_options(lifecycle_verbosity = "quiet") ci <- confint(su_m_bivar_te, parm = "te(x,z)", type = "confidence") expect_s3_class(ci, "confint.gam") expect_s3_class(ci, "tbl_df") expect_named(ci, expected = c(".smooth", ".type", ".by", "x", "z", var_nms)) }) test_that("Simultaneous interval for a 2d smooth works", { skip_if_not_installed("withr") withr::local_options(lifecycle_verbosity = "quiet") ci <- withr::with_seed( 42, confint(su_m_bivar_te, parm = "te(x,z)", type = "simultaneous", nsim = 100 ) ) expect_s3_class(ci, "confint.gam") expect_s3_class(ci, "tbl_df") expect_named(ci, expected = c(".smooth", ".type", ".by", "x", "z", var_nms)) }) test_that("Point-wise confidence interval for a GAMM works", { withr::local_options(lifecycle_verbosity = "quiet") skip_if_not_installed("withr") ci <- confint(m_gamm, parm = "s(x1)", type = "confidence") expect_s3_class(ci, "confint.gam") expect_s3_class(ci, "tbl_df") expect_named(ci, expected = c(".smooth", ".type", ".by", "x1", var_nms)) }) test_that("Simultaneous interval for a GAMM works", { skip_if_not_installed("withr") withr::local_options(lifecycle_verbosity = "quiet") ci <- withr::with_seed( 42, confint(m_gamm, parm = "s(x1)", type = "simultaneous", nsim = 100) ) expect_s3_class(ci, "confint.gam") expect_s3_class(ci, "tbl_df") expect_named(ci, expected = c(".smooth", ".type", ".by", "x1", var_nms)) }) ## confint methods for by variables test_that("Point-wise confidence interval for a GAM with factor by variable works", { skip_if_not_installed("withr") withr::local_options(lifecycle_verbosity = "quiet") ci <- confint(su_m_factor_by_x2, parm = "s(x2)", type = "confidence", partial_match = TRUE ) expect_s3_class(ci, "confint.gam") expect_s3_class(ci, "tbl_df") expect_named(ci, expected = c( ".smooth", ".type", ".by", "x2", "fac", var_nms )) expect_equal( paste0("s(x2):fac", levels(su_eg4[["fac"]])), unique(ci[[".smooth"]]) ) }) test_that("Simultaneous confidence interval for a GAM with factor by variable works", { skip_if_not_installed("withr") withr::local_options(lifecycle_verbosity = "quiet") ci <- confint(su_m_factor_by_x2, parm = "s(x2)", type = "simultaneous", partial_match = TRUE ) expect_s3_class(ci, "confint.gam") expect_s3_class(ci, "tbl_df") expect_named(ci, expected = c(".smooth", ".type", ".by", "x2", "fac", var_nms)) expect_equal( paste0("s(x2):fac", levels(su_eg4[["fac"]])), unique(ci[[".smooth"]]) ) }) ## Part of #80 test_that("Point-wise confidence interval for a GAM with selected factor by variable works", { skip_if_not_installed("withr") withr::local_options(lifecycle_verbosity = "quiet") ci <- confint(su_m_factor_by_x2, parm = "s(x2):fac1", type = "confidence") expect_s3_class(ci, "confint.gam") expect_s3_class(ci, "tbl_df") expect_named(ci, expected = c(".smooth", ".type", ".by", "x2", "fac", var_nms)) }) test_that("Point-wise confidence interval for a GAMM works", { skip_if_not_installed("withr") withr::local_options(lifecycle_verbosity = "quiet") ci <- confint(m_gamm4, parm = "s(x1)", type = "confidence") expect_s3_class(ci, "confint.gam") expect_s3_class(ci, "tbl_df") expect_named(ci, expected = c(".smooth", ".type", ".by", "x1", var_nms)) }) test_that("Simultaneous interval for a GAMM works", { skip_if_not_installed("withr") withr::local_options(lifecycle_verbosity = "quiet") ci <- withr::with_seed( 42, confint(m_gamm4, parm = "s(x1)", type = "simultaneous", nsim = 100) ) expect_s3_class(ci, "confint.gam") expect_s3_class(ci, "tbl_df") expect_named(ci, expected = c(".smooth", ".type", ".by", "x1", var_nms)) }) ## test snapshots... test_that("confint.fderiv example output", { skip_on_cran() skip_on_os("win") skip_if_not_installed("withr") withr::local_options(lifecycle_verbosity = "quiet") # new data to evaluate the derivatives at, say over the middle 50% of range # of each covariate middle <- function(x, n = 25, coverage = 0.5) { v <- (1 - coverage) / 2 q <- quantile(x, prob = c(0 + v, 1 - v), type = 8) seq(q[1], q[2], length = n) } new_data <- sapply(su_eg1[c("x0", "x1", "x2", "x3")], middle) new_data <- data.frame(new_data) ## first derivatives of all smooths... fd <- fderiv(m_gam, newdata = new_data) ## point-wise interval ci <- confint(fd, type = "confidence") expect_snapshot_output(ci) ## simultaneous interval for smooth term of x2 x2_sint <- withr::with_seed( 24, confint(fd, parm = "x2", type = "simultaneous", nsim = 10000, ncores = 2 ) ) # skip_on_ci() skip_on_covr() skip_on_os(os = c("linux", "windows")) expect_snapshot_output(x2_sint) })