https://github.com/cran/bayestestR
Tip revision: aee422d7cd4098dad89e31ecc6dfd9e539d2bda4 authored by Dominique Makowski on 06 August 2019, 10:20:02 UTC
version 0.2.5
version 0.2.5
Tip revision: aee422d
test-rstanarm.R
context("rstanarm")
test_that("rstanarm", {
testthat::skip_on_cran()
set.seed(333)
library(rstanarm)
model <- insight::download_model("stanreg_lm_1")
testthat::expect_equal(rope_range(model)[1], -0.602, tol = 0.1)
model <- insight::download_model("stanreg_meanfield_lm_1")
testthat::expect_equal(rope_range(model)[1], -0.602, tol = 0.1)
model <- insight::download_model("stanreg_fullrank_lm_1")
testthat::expect_equal(rope_range(model)[1], -0.602, tol = 0.1)
model <- insight::download_model("stanreg_lmerMod_1")
testthat::expect_equal(rope_range(model)[1], -0.097, tol = 0.1)
model <- insight::download_model("stanreg_glm_1")
testthat::expect_equal(rope_range(model)[1], -0.18, tol = 0.1)
model <- insight::download_model("stanreg_merMod_1")
testthat::expect_equal(rope_range(model)[1], -0.18, tol = 0.1)
model <- insight::download_model("stanreg_gamm4_1")
testthat::expect_equal(rope_range(model)[1], -0.043, tol = 0.1)
model <- insight::download_model("stanreg_gam_1")
params <- describe_posterior(model, centrality = "all", test = "all", dispersion = TRUE)
testthat::expect_equal(c(nrow(params), ncol(params)), c(4, 22))
testthat::expect_is(hdi(model), "data.frame")
testthat::expect_is(ci(model), "data.frame")
testthat::expect_is(rope(model), "data.frame")
# testthat::expect_true("equivalence_test" %in% class(equivalence_test(model)))
testthat::expect_is(map_estimate(model), "data.frame")
testthat::expect_is(p_map(model), "data.frame")
testthat::expect_is(p_rope(model), "data.frame")
testthat::expect_is(p_direction(model), "data.frame")
# testthat::expect_error(equivalence_test(model, range = c(.1, .3, .5)))
# print(equivalence_test(model, ci = c(.1, .3, .5)))
})