https://github.com/cran/bayestestR
Tip revision: d2eac42f58e4e0f0d07298e8c2e719ef6a30672d authored by Dominique Makowski on 19 June 2020, 08:00:07 UTC
version 0.7.0
version 0.7.0
Tip revision: d2eac42
test-estimate_density.R
if (require("logspline") && require("KernSmooth") && require("mclust")) {
test_that("estimate_density", {
set.seed(333)
x <- distribution_normal(500, 1)
# Methods
density_kernel <- estimate_density(x, method = "kernel")
density_logspline <- estimate_density(x, method = "logspline")
density_KernSmooth <- estimate_density(x, method = "KernSmooth")
density_mixture <- estimate_density(x, method = "mixture")
testthat::expect_equal(mean(density_kernel$y - density_logspline$y), 0, tol = 0.1)
testthat::expect_equal(mean(density_kernel$y - density_KernSmooth$y), 0, tol = 0.1)
testthat::expect_equal(mean(density_kernel$y - density_mixture$y), 0, tol = 0.1)
})
}