if (require("rstanarm", quietly = TRUE) && require("brms", quietly = TRUE)) { test_that("p_direction", { set.seed(333) x <- bayestestR::distribution_normal(10000, 1, 1) pd <- bayestestR::p_direction(x) testthat::expect_equal(as.numeric(pd), 0.842, tolerance = 0.1) testthat::expect_equal(as.numeric(p_direction(x, method = "kernel")), 0.842, tolerance = 0.1) testthat::expect_equal(nrow(p_direction(data.frame(replicate(4, rnorm(100))))), 4) testthat::expect_is(pd, "p_direction") testthat::expect_equal(tail(capture.output(print(pd)), 1), "pd = 84.14%") }) .runThisTest <- Sys.getenv("RunAllbayestestRTests") == "yes" if (.runThisTest) { if (require("insight")) { m <- insight::download_model("stanreg_merMod_5") p <- insight::get_parameters(m, effects = "all") testthat::test_that("p_direction", { testthat::expect_equal( p_direction(m, effects = "all")$pd, p_direction(p)$pd, tolerance = 1e-3 ) }) m <- insight::download_model("brms_zi_3") p <- insight::get_parameters(m, effects = "all", component = "all") testthat::test_that("p_direction", { testthat::expect_equal( p_direction(m, effects = "all", component = "all")$pd, p_direction(p)$pd, tolerance = 1e-3 ) }) } } }