inst/tinytest/test-ddelap.r

In Delaporte: Statistical Functions for the Delaporte Distribution

# Copyright (c) 2013, Avraham Adler All rights reserved
# SPDX-License-Identifier: BSD-2-Clause

# For CRAN
oldThreads <- getDelapThreads()
setDelapThreads(2L)

tol <- sqrt(.Machine$double.eps)
nonIntErr <- "Non-integers passed to ddelap. These will have 0 probability."
nanWarn <- "NaNs produced"
VAL <- data.frame(read.csv(file = file.path(".", "RawTest.csv"), header = TRUE))

# Singleton function accuracy
expect_equal(ddelap(0:36, 1, 4, 2), VAL$DDELAP_1, tolerance = tol)

# alpha < 0.8
expect_equal(ddelap(4L, 0.5, 4, 0.2), 0.0547024400602606, tolerance = tol)

# Singleton log
expect_equal(ddelap(0:36, 5, 3, 8, log = TRUE), log(ddelap(0:36, 5, 3, 8)),
             tolerance = tol)

# Singleton NA
expect_warning(ddelap(1L, NA, 2, 3), nanWarn)
expect_identical(suppressWarnings(ddelap(1:3, 4, NA, 3)), rep(NaN, 3))

# Singleton NaN
expect_warning(ddelap(1L, 0, 1, 2), nanWarn)
expect_warning(ddelap(1:10, 0, 1, 2), nanWarn)
expect_warning(ddelap(1L, -2, 1, 2), nanWarn)
expect_warning(ddelap(0L, 1, 0, 2), nanWarn)
expect_warning(ddelap(0L, 1, -4, 2), nanWarn)
expect_warning(ddelap(0L, 1, 4, 0), nanWarn)
expect_warning(ddelap(0L, 1, 4, -3), nanWarn)
expect_warning(ddelap(0L, 1, 4, -3), nanWarn)
expect_warning(ddelap(NaN, 1, 4, 6), nanWarn)
expect_warning(ddelap(NA, 1, 4, 12), nanWarn)
tst <- suppressWarnings(ddelap(c(NA, 4, NaN), 0.5, 4, 0.2))
expect_equal(tst, c(NaN, ddelap(4L, 0.5, 4, 0.2), NaN), tolerance = tol)

# Vector function accuracy
expect_equal(ddelap(0:36, c(1, 2, 3), c(4, 1, 2), c(2, 5, 7)),
             VAL$DDELAP_Triple, tolerance = tol)
# Vector log
expect_equal(ddelap(0:100, c(4, 9, 2), c(6, 12, 8), c(7, 14, 9), log = TRUE),
             log(ddelap(0:100, c(4, 9, 2), c(6, 12, 8), c(7, 14, 9))),
             tolerance = tol)

# Vector NA
expect_identical(suppressWarnings(ddelap(1:3, c(4, 1, 2), c(1, 5, 3), NA)),
                 rep(NaN, 3))
tst <- suppressWarnings(ddelap(c(4, 4, 4), c(1, 0.5, NA), 4, c(NaN, 0.2, 4)))
expect_equal(tst, c(NaN, ddelap(4, 0.5, 4, 0.2), NaN), tolerance = tol)

# Vector NaN
expect_warning(ddelap(1:3, c(0, 1, 2), c(1, 0, 2), c(1, 2, 0)), nanWarn)
expect_warning(ddelap(1:3, c(-3, 1, 2), c(1, -5, 2), c(1, 2, -0.1)), nanWarn)
expect_warning(ddelap(c(NA, 2), c(2, 1, 2), c(1, 3, 2), c(1, 2, 4)))
expect_warning(ddelap(c(3, NaN), c(2, 1, 2), c(1, 3, 2), c(1, 2, 4)))
tst <- suppressWarnings(ddelap(c(NA, 0, NaN), c(1, 2, 3), c(4, 1, 2),
                               c(2, 5, 7)))
expect_equal(tst, c(NaN, ddelap(0, 2, 1, 5), NaN), tolerance = tol)

# Non-integer warning
expect_warning(ddelap(1.1, 1, 2, 3), nonIntErr)
expect_warning(ddelap(c(1, 1.1, 1.2, 3), c(1, 1), 2, 3), nonIntErr)
expect_warning(ddelap(seq(2, 3, 0.1), c(1, 1), 2, 3), nonIntErr)

# Non-double parameters converted
expect_equal(ddelap(2L, 1L, 2L, 3L), ddelap(2L, 1, 2, 3), tolerance = tol)

# Infinite values
expect_identical(ddelap(Inf, 1L, 2L, 3L), 0)
expect_identical(ddelap(c(Inf, Inf), c(1L, 2L), 2L, 3L), c(0, 0))
expect_warning(ddelap(-Inf, 1L, 2L, 3L), nanWarn)

# Test log1p using Taylor branch; only used by beta parameter.
expect_equal(ddelap(1, 1, 1e-10, 2), 0.270670566459692, tolerance = tol)

# Restore original thread count
setDelapThreads(oldThreads)