test_that("varfreq_freq_logistic input arguments are valid", {
expect_error(varfreq_freq_logistic(t = "invalid", p0_v1 = 0.1, r_v1 = 0.1, c_ratio = 1))
expect_error(varfreq_freq_logistic(t = 5, p0_v1 = 1.1, r_v1 = 0.1, c_ratio = 1))
expect_error(varfreq_freq_logistic(t = 5, p0_v1 = "invalid", r_v1 = 0.1, c_ratio = 1))
expect_error(varfreq_freq_logistic(t = 5, p0_v1 = 0.1, r_v1 = "invalid", c_ratio = 1))
expect_error(varfreq_freq_logistic(t = 5, p0_v1 = 0.1, r_v1 = 0, c_ratio = 1))
expect_error(varfreq_freq_logistic(t = 5, p0_v1 = 0.1, r_v1 = 0.1, c_ratio = "invalid"))
expect_error(varfreq_freq_logistic(t = 5, p0_v1 = 0.1, r_v1 = 0.1, c_ratio = 0))
})
test_that("varfreq_freq_logistic return object is valid double", {
expect_type(varfreq_freq_logistic(t = 5, p0_v1 = 0.1, r_v1 = 0.1, c_ratio = 1),
"double")
})
test_that("varfreq_freq_logistic variant prevalence increases when growth rate is positive", {
expect_gt(varfreq_freq_logistic(t = 5, p0_v1 = 1/10000, r_v1 = 0.3, c_ratio = 1),
1/10000)
})
test_that("varfreq_freq_logistic variant prevalence decreases when growth rate is negative", {
expect_lt(varfreq_freq_logistic(t = 5, p0_v1 = 1/10000, r_v1 = -0.3, c_ratio = 1),
1/10000)
})
test_that("varfreq_freq_logistic observed variant prevalence is higher when c_ratio is above 1", {
expect_gt(varfreq_freq_logistic(t = 4, p0_v1 = 1/10000, r_v1 = 0.2, c_ratio = 1.2),
varfreq_freq_logistic(t = 4, p0_v1 = 1/10000, r_v1 = 0.2, c_ratio = 1))
})
test_that("varfreq_freq_logistic observed variant prevalence is lower when c_ratio is below 1", {
expect_lt(varfreq_freq_logistic(t = 10, p0_v1 = 1/1000, r_v1 = 0.11, c_ratio = 0.9),
varfreq_freq_logistic(t = 10, p0_v1 = 1/1000, r_v1 = 0.11, c_ratio = 1))
})
test_that("varfreq_freq_logistic manuscript results remain valid", {
expect_equal(round(varfreq_freq_logistic(t = 14, p0_v1 = 1/10000, r_v1 = 0.1,
c_ratio = 1), 4), 4e-04)
})
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