https://github.com/cran/bayestestR
Tip revision: 2565fc870cd7f0a64d857ff89e682dc9344dc7c1 authored by Dominique Makowski on 12 February 2020, 04:10:16 UTC
version 0.5.2
version 0.5.2
Tip revision: 2565fc8
test-ci.R
if (requireNamespace("rstanarm", quietly = TRUE)) {
context("ci")
test_that("ci", {
testthat::expect_equal(ci(distribution_normal(1000), ci = .90)$CI_low[1], -1.6361, tolerance = 0.02)
testthat::expect_equal(nrow(ci(distribution_normal(1000), ci = c(.80, .90, .95))), 3, tolerance = 0.01)
testthat::expect_equal(ci(distribution_normal(1000), ci = 1)$CI_low[1], -3.09, tolerance = 0.02)
# testthat::expect_equal(length(capture.output(print(ci(distribution_normal(1000))))))
# testthat::expect_equal(length(capture.output(print(ci(distribution_normal(1000), ci = c(.80, .90))))))
testthat::expect_warning(ci(c(2, 3, NA)))
testthat::expect_warning(ci(c(2, 3)))
testthat::expect_warning(ci(distribution_normal(1000), ci = 950))
x <- data.frame(replicate(4, rnorm(100)))
x <- ci(x, ci = c(0.68, 0.89, 0.95))
a <- reshape_ci(x)
testthat::expect_equal(c(nrow(x), ncol(x)), c(12, 4))
testthat::expect_true(all(reshape_ci(a) == x))
})
if (require("insight")) {
m <- insight::download_model("stanreg_merMod_5")
p <- insight::get_parameters(m, effects = "all")
test_that("ci", {
testthat::expect_equal(
ci(m, ci = c(.5, .8), effects = "all")$CI_low,
ci(p, ci = c(.5, .8))$CI_low,
tolerance = 1e-3
)
})
m <- insight::download_model("brms_zi_3")
p <- insight::get_parameters(m, effects = "all", component = "all")
test_that("rope", {
testthat::expect_equal(
ci(m, ci = c(.5, .8), effects = "all", component = "all")$CI_low,
ci(p, ci = c(.5, .8))$CI_low,
tolerance = 1e-3
)
})
}
}