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-rw-r--r--tests/testthat/test_confidence.R51
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diff --git a/tests/testthat/test_confidence.R b/tests/testthat/test_confidence.R
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+# Copyright (C) 2019 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("Confidence intervals and p-values")
+
+m_synth_SFO_lin <- mkinmod(
+ parent = mkinsub("SFO", "M1"),
+ M1 = mkinsub("SFO", "M2"),
+ M2 = mkinsub("SFO"),
+ use_of_ff = "max", quiet = TRUE)
+
+SFO_lin_a <- synthetic_data_for_UBA_2014[[1]]$data
+
+test_that("Confidence intervals are stable", {
+ f_1_mkin_OLS <- mkinfit(m_synth_SFO_lin, SFO_lin_a, quiet = TRUE)
+ f_1_mkin_ML <- mkinfit(m_synth_SFO_lin, SFO_lin_a, quiet = TRUE,
+ error_model = "const", error_model_algorithm = "direct")
+
+ bpar_1 <- summary(f_1_mkin_ML)$bpar[, c("Estimate", "Lower", "Upper")]
+ # The reference used here is mkin 0.9.48.1
+ bpar_1_mkin_0.9 <- read.table(text =
+"parent_0 102.0000 98.6000 106.0000
+k_parent 0.7390 0.6770 0.8070
+k_M1 0.2990 0.2560 0.3490
+k_M2 0.0202 0.0176 0.0233
+f_parent_to_M1 0.7690 0.6640 0.8480
+f_M1_to_M2 0.7230 0.6030 0.8180",
+col.names = c("parameter", "estimate", "lower", "upper"))
+
+ expect_equivalent(signif(bpar_1[1:6, "Estimate"], 3), bpar_1_mkin_0.9$estimate)
+
+ # Relative difference of lower bound of the confidence interval is < 0.02
+ expect_equivalent(bpar_1[1:6, "Lower"], bpar_1_mkin_0.9$lower,
+ scale = bpar_1_mkin_0.9$lower, tolerance = 0.02)
+ })
+

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