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-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)
})
}