testthat::context("gumbel distribution well implemented")
testthat::test_that("rgumbel and Rgumbel generate random values", {
testthat::expect_equal(
length(rgumbel(100L)),
100L
)
testthat::expect_equal(
length(rGumbel(100L)),
100L
)
})
x <- rGumbel(100L)
mu <- 1L
beta <- 2L
testthat::test_that("pgumbel and pGumbel", {
testthat::expect_true(
min(pgumbel(x, loc = mu, scale = beta)) >= 0L
)
testthat::expect_true(
max(pgumbel(x, loc = mu, scale = beta)) <= 1L
)
testthat::expect_true(
min(pGumbel(x, loc = mu, scale = beta)) >= 0L
)
testthat::expect_true(
max(pGumbel(x, loc = mu, scale = beta)) <= 1L
)
testthat::expect_true(
min(pgumbel(x, loc = mu, scale = beta, lower.tail = FALSE)) >= 0L
)
testthat::expect_true(
max(pgumbel(x, loc = mu, scale = beta, lower.tail = FALSE)) <= 1L
)
testthat::expect_true(
min(pGumbel(x, loc = mu, scale = beta, lower.tail = FALSE)) >= 0L
)
testthat::expect_true(
max(pGumbel(x, loc = mu, scale = beta, lower.tail = FALSE)) <= 1L
)
})
testthat::test_that("dgumbel and dGumbel", {
testthat::expect_equal(
sum(dgumbel(x, loc = mu, scale = beta) >= rep(0L, length(x))),
length(x)
)
testthat::expect_equal(
sum(dGumbel(x, loc = mu, scale = beta) >= rep(0L, length(x))),
length(x)
)
testthat::expect_true(
max(dgumbel(x, loc = mu, scale = beta, log = TRUE))<=0L
)
testthat::expect_true(
max(dGumbel(x, loc = mu, scale = beta, log = TRUE))<=0L
)
})
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