https://github.com/cran/bayestestR
Tip revision: 23ea3229abe72a5f23dcf3a4cfcd3478d744b536 authored by Dominique Makowski on 20 June 2019, 11:50:03 UTC
version 0.2.2
version 0.2.2
Tip revision: 23ea322
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], -0.055, tol = 0.1)
model <- insight::download_model("stanreg_merMod_1")
testthat::expect_equal(rope_range(model)[1], -0.055, 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)))
})