Revision 1b89ec86b6a914c4d45bee998d08eed1ef23f57f authored by Dominique Makowski on 20 July 2020, 08:30:03 UTC, committed by cran-robot on 20 July 2020, 08:30:03 UTC
1 parent d2eac42
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test-different_models.R
if (require("bayesQR", quietly = TRUE)) {
  test_that("bayesQR", {

    x <- bayesQR::bayesQR(Sepal.Length ~ Petal.Width, data=iris, quantile = 0.1, alasso = TRUE, ndraw=500)

    rez <- p_direction(x)
    testthat::expect_equal(c(nrow(rez), ncol(rez)), c(2, 2))

    rez <- p_map(x)
    testthat::expect_equal(c(nrow(rez), ncol(rez)), c(2, 2))

    rez <- p_significance(x)
    testthat::expect_equal(c(nrow(rez), ncol(rez)), c(2, 2))

    rez <- rope(x)
    testthat::expect_equal(c(nrow(rez), ncol(rez)), c(2, 5))

    rez <- hdi(x)
    testthat::expect_equal(c(nrow(rez), ncol(rez)), c(2, 4))

    rez <- eti(x)
    testthat::expect_equal(c(nrow(rez), ncol(rez)), c(2, 4))

    rez <- map_estimate(x)
    testthat::expect_equal(c(nrow(rez), ncol(rez)), c(2, 2))

    rez <- point_estimate(x)
    testthat::expect_equal(c(nrow(rez), ncol(rez)), c(2, 4))

    rez <- describe_posterior(x)
    testthat::expect_equal(c(nrow(rez), ncol(rez)), c(2, 10))

    rez <- estimate_density(x)
    testthat::expect_equal(c(nrow(rez), ncol(rez)), c(2048, 3))
  })
}
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