https://github.com/cran/bayestestR
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Tip revision: 01482dc32c49cc56111762e704c854b5f287966a authored by Dominique Makowski on 20 April 2020, 05:10:28 UTC
version 0.6.0
Tip revision: 01482dc
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)
  })
}
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