1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
|
# Copyright (C) 2016,2017 Johannes Ranke
# Contact: jranke@uni-bremen.de
# This file is part of the R package mkin
# mkin is free software: you can redistribute it and/or modify it under the
# terms of the GNU General Public License as published by the Free Software
# Foundation, either version 3 of the License, or (at your option) any later
# version.
# This program is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
# details.
# You should have received a copy of the GNU General Public License along with
# this program. If not, see <http://www.gnu.org/licenses/>
context("Calculation of maximum time weighted average concentrations (TWAs)")
twa_models <- c("SFO", "FOMC", "DFOP")
fits <- mmkin(twa_models, list(FOCUS_D = FOCUS_2006_D),
quiet = TRUE)
SFO_SFO <- mkinmod(parent = list(type = "SFO", to = "m1"),
m1 = list(type = "SFO"), quiet = TRUE)
fit.m1 <- mkinfit(SFO_SFO, FOCUS_2006_D, quiet = TRUE)
test_that("Time weighted average concentrations are correct", {
outtimes_7 <- seq(0, 7, length.out = 10000)
for (model in twa_models) {
fit <- fits[[model, 1]]
bpar <- summary(fit)$bpar[, "Estimate"]
pred_7 <- mkinpredict(fit$mkinmod,
odeparms = bpar[2:length(bpar)],
odeini = c(parent = bpar[[1]]),
outtimes = outtimes_7)
twa_num <- mean(pred_7$parent)
names(twa_num) <- 7
twa_ana <- max_twa_parent(fit, 7)
# Test for absolute difference (scale = 1)
expect_equal(twa_num, twa_ana, tolerance = 0.001, scale = 1)
}
})
|
