test_that("pk_1cmt_bolus_cmax_ss calculates expected values", {
res1 <- pk_1cmt_bolus_cmax_ss()
res2 <- pk_1cmt_bolus_cmax_ss(dose = 200)
res3 <- pk_1cmt_bolus_cmax_ss(tau = 6)
res4 <- pk_1cmt_bolus_cmax_ss(CL = 5)
res5 <- pk_1cmt_bolus_cmax_ss(V = 50)
expect_equal(res1, 4.7700425)
expect_equal(res2, 9.5400851)
expect_equal(res3, 7.3878974)
expect_equal(res4, 3.8550588)
expect_equal(res5, 3.8967536)
})
test_that("pk_1cmt_bolus_cmax_ss can take vector of doses or parameters", {
res1 <- pk_1cmt_bolus_cmax_ss(dose = c(100, 200, 300))
expect_equal(res1, c(4.7700425, 9.5400851, 14.3101276))
res2 <- pk_1cmt_bolus_cmax_ss(dose = 100, CL = c(3, 5))
expect_equal(res2, c(4.7700425, 3.8550588))
})
test_that("residual variability is added if provided", {
set.seed(584)
res <- pk_1cmt_bolus_cmax_ss(ruv = list(prop = 0.1, add = 1, exp = 0))
expect_equal(res, 4.0897402)
})
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