inst/tests/test-proportionBF.R

In BayesFactor: Computation of Bayes Factors for Common Designs

context("proportionBF")

test_that("bad p values are handled correctly", {
    expect_error(
        proportionBF(0, N=0, p=0),
        'p must be between 0 and 1',
        fixed=TRUE)
    expect_error(
        proportionBF(0, N=0, p=1),
        'p must be between 0 and 1',
        fixed=TRUE)
    expect_error(
        proportionBF(0, N=0, p=-100),
        'p must be between 0 and 1',
        fixed=TRUE)
    expect_error(
        proportionBF(0, N=0, p=12),
        'p must be between 0 and 1',
        fixed=TRUE)
})

test_that("no samples is handled correctly", {
    proportionBF(0, N=0, p=0.5)
})

test_that("floor/ceiling values behave correctly", {
  proportionBF(  0, N=100, p=0.5)
  proportionBF(100, N=100, p=0.5)
})