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authorJohannes Ranke <jranke@uni-bremen.de>2020-12-02 07:53:37 +0100
committerJohannes Ranke <jranke@uni-bremen.de>2020-12-02 07:53:37 +0100
commitae8ba4b0e52aae9b317b0244e7162037bee9d27b (patch)
tree0020db3af4e3eb9450ee0345fdcd43b24ec47ef2 /tests
parent524a8bba89b95840b4e9215c403947a8bb76d7b2 (diff)
Possibility to specify random effects structures
The default is pdDiag again, as we often have a small number of datasets in degradation kinetics.
Diffstat (limited to 'tests')
-rw-r--r--tests/testthat/test_nlme.R12
1 files changed, 6 insertions, 6 deletions
diff --git a/tests/testthat/test_nlme.R b/tests/testthat/test_nlme.R
index da994f49..989914da 100644
--- a/tests/testthat/test_nlme.R
+++ b/tests/testthat/test_nlme.R
@@ -56,18 +56,18 @@ test_that("nlme_function works correctly", {
m_nlme_raw_2 <- nlme(value ~ SSasymp(time, 0, parent_0, log_k_parent),
data = grouped_data,
fixed = parent_0 + log_k_parent ~ 1,
- random = pdLogChol(parent_0 + log_k_parent ~ 1),
+ random = pdDiag(parent_0 + log_k_parent ~ 1),
start = mean_degparms(f, random = TRUE),
control = list("msWarnNoConv" = FALSE))
expect_equal(m_nlme_raw_2$coefficients, m_nlme_mmkin$coefficients)
- anova_nlme <- anova(m_nlme_raw, m_nlme_mmkin)
+ anova_nlme <- anova(m_nlme_raw, m_nlme_mkin, m_nlme_raw_2, m_nlme_mmkin)
- # We get a slightly lower AIC with the improved starting values used within
- # nlme.mmkin, specifying also random effects
- expect_lt(anova_nlme["m_nlme_mmkin", "AIC"],
+ expect_equal(anova_nlme["m_nlme_mkin", "AIC"],
anova_nlme["m_nlme_raw", "AIC"])
+ expect_equal(anova_nlme["m_nlme_mmkin", "AIC"],
+ anova_nlme["m_nlme_raw_2", "AIC"])
m_nlme_raw_up_1 <- update(m_nlme_raw, random = log_k_parent_sink ~ 1)
# The following three calls give an error although they should
@@ -87,7 +87,7 @@ test_that("nlme_function works correctly", {
m_nlme_mkin_up_2 <- update(m_nlme_mkin, random = parent_0 ~ 1)
expect_equal(m_nlme_raw_up_2$coefficients, m_nlme_mkin_up_2$coefficients)
- expect_warning(tmp <- update(m_nlme_mmkin), "Iteration 1, LME step")
+ expect_silent(tmp <- update(m_nlme_mmkin))
geomean_dt50_mmkin <- exp(mean(log((sapply(f, function(x) endpoints(x)$distimes["parent", "DT50"])))))
expect_equal(round(endpoints(m_nlme_mmkin)$distimes["parent", "DT50"]), round(geomean_dt50_mmkin))

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