test_that("si.numeric", {
skip_if_not_installed("logspline")
set.seed(333)
prior <- distribution_normal(1000, mean = 0, sd = 1)
posterior <- distribution_normal(1000, mean = 0.5, sd = 0.3)
expect_warning(
{
res <- si(posterior, prior)
},
regexp = "40"
)
expect_equal(res$CI_low, 0.043, tolerance = 0.02)
expect_equal(res$CI_high, 1.053103, tolerance = 0.02)
expect_s3_class(res, "bayestestR_si")
res <- si(posterior, prior, BF = 3, verbose = FALSE)
expect_equal(res$CI_low, 0.35, tolerance = 0.02)
expect_equal(res$CI_high, 0.759, tolerance = 0.02)
res <- si(posterior, prior, BF = 100, verbose = FALSE)
expect_true(all(is.na(res$CI_low)))
expect_true(all(is.na(res$CI_high)))
res <- si(posterior, prior, BF = c(1 / 3, 1, 3), verbose = FALSE)
expect_equal(res$CI, c(1 / 3, 1, 3), tolerance = 0.02)
expect_equal(res$CI_low, c(-0.1277, 0.0426, 0.3549), tolerance = 0.02)
expect_equal(res$CI_high, c(1.213, 1.053, 0.759), tolerance = 0.02)
})
test_that("si.rstanarm", {
skip_on_cran()
skip_if_not_installed("rstanarm")
data(sleep)
contrasts(sleep$group) <- contr.equalprior_pairs # See vignette
stan_model <- suppressWarnings(rstanarm::stan_glmer(extra ~ group + (1 | ID), data = sleep, refresh = 0))
set.seed(333)
stan_model_p <- update(stan_model, prior_PD = TRUE)
res1 <- si(stan_model, stan_model_p, verbose = FALSE)
set.seed(333)
res2 <- si(stan_model, verbose = FALSE)
expect_s3_class(res1, "bayestestR_si")
expect_equal(res1, res2, ignore_attr = TRUE)
skip_if_not_installed("emmeans")
set.seed(123)
group_diff <- suppressWarnings(pairs(emmeans::emmeans(stan_model, ~group)))
res3 <- si(group_diff, prior = stan_model, verbose = FALSE)
expect_equal(res3$CI_low, -2.746, tolerance = 0.3)
expect_equal(res3$CI_high, -0.4, tolerance = 0.3)
})
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