1 files changed, 0 insertions, 49 deletions
diff --git a/tests/testthat/test_twa.R b/tests/testthat/test_twa.R
deleted file mode 100644
index 42b74a7f..00000000
--- a/tests/testthat/test_twa.R
+++ /dev/null
@@ -1,49 +0,0 @@
-# Copyright (C) 2016,2017,2018 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)")
-
-
-test_that("Time weighted average concentrations are correct", {
-  skip_on_cran()
-  twa_models <- c("SFO", "FOMC", "DFOP", "HS")
-  fits <- mmkin(twa_models,
-                list(FOCUS_C = FOCUS_2006_C, FOCUS_D = FOCUS_2006_D),
-                quiet = TRUE, cores = if (Sys.getenv("TRAVIS") == "") 15 else 1)
-
-  outtimes_10 <- seq(0, 10, length.out = 10000)
-
-  for (ds in c("FOCUS_C", "FOCUS_D")) {
-    for (model in twa_models) {
-      fit <- fits[[model, ds]]
-      bpar <- summary(fit)$bpar[, "Estimate"]
-      pred_10 <- mkinpredict(fit$mkinmod,
-                  odeparms = bpar[2:length(bpar)],
-                  odeini = c(parent = bpar[[1]]),
-                  outtimes = outtimes_10)
-      twa_num <- mean(pred_10$parent)
-      names(twa_num) <- 10
-      twa_ana <- max_twa_parent(fit, 10)
-
-      # Test for absolute difference (scale = 1)
-      # The tolerance can be reduced if the length of outtimes is increased,
-      # but this needs more computing time so we stay with lenght.out = 10k
-      expect_equal(twa_num, twa_ana, tolerance = 0.003, scale = 1)
-    }
-  }
-})