https://github.com/cran/bayestestR
Tip revision: 645c10f110efae44c5ac60025664cd27f2b46a87 authored by Dominique Makowski on 26 March 2020, 05:10:08 UTC
version 0.5.3
version 0.5.3
Tip revision: 645c10f
test-estimate_density.R
if (require("logspline") && require("KernSmooth") && require("mclust")) {
context("estimate_density")
test_that("estimate_density", {
library(logspline)
library(KernSmooth)
library(mclust)
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)
})
}