tests/testthat/test-dGHGBB.R

In Amalan-ConStat/R-fitODBOD: Modeling Over Dispersed Binomial Outcome Data Using BMD and ABD

context ("Scenario of un wanted inputs")
test_that("NA values are avoided",{
          expect_that(dGHGBB(NA,4,0.1,3,3),
          throws_error("NA or Infinite or NAN values in the Input"))
          })
test_that("Infinite values are avoided",{
          expect_that(dGHGBB(Inf,4,0.1,3,3),
          throws_error("NA or Infinite or NAN values in the Input"))
          })
test_that("NAN values are avoided",{
          expect_that(dGHGBB(NaN,4,0.1,3,3),
          throws_error("NA or Infinite or NAN values in the Input"))
          })

context("Binomial random variable or trial value issues")
test_that("Random variable higher than Trial value",{
        expect_that(dGHGBB(5,4,0.2,3,3),
        throws_error("Binomial random variable cannot be greater than binomial trial value"))
        })
test_that("Negativity",{
        expect_that(dGHGBB(-3,4,0.2,3,3),
        throws_error("Binomial random variable or binomial trial value cannot be negative"))
        })
test_that("Random variable higher than Trial value",{
        expect_that(dGHGBB(-8,-4,0.2,3,3),
        throws_error("Binomial random variable or binomial trial value cannot be negative"))
        })

context("Shape parameter issues")
test_that("shape parameter a",{
        expect_that(dGHGBB(2,4,-3,3,6),
        throws_error("Shape parameters cannot be less than or equal to zero"))
        })
test_that("shape parameter b",{
        expect_that(dGHGBB(2,4,1,-3,5),
        throws_error("Shape parameters cannot be less than or equal to zero"))
        })
test_that("shape parameter c",{
        expect_that(dGHGBB(2,4,1,1,-3),
        throws_error("Shape parameters cannot be less than or equal to zero"))
        })