diff options
Diffstat (limited to 'tests')
| -rw-r--r-- | tests/testthat/test_saemix_parent.R | 27 |
1 files changed, 27 insertions, 0 deletions
diff --git a/tests/testthat/test_saemix_parent.R b/tests/testthat/test_saemix_parent.R index 7fbecd0c..c80b4fa1 100644 --- a/tests/testthat/test_saemix_parent.R +++ b/tests/testthat/test_saemix_parent.R @@ -148,3 +148,30 @@ test_that("We can also use mkin solution methods for saem", { rel_diff <- abs(distimes_dfop_analytical - distimes_dfop) / distimes_dfop expect_true(all(rel_diff < 0.01)) }) + +test_that("illparms finds a single random effect that is ill-defined", { + set.seed(123456) + n <- 4 + SFO <- mkinmod(parent = mkinsub("SFO")) + sfo_pop <- list(parent_0 = 100, k_parent = 0.03) + sfo_parms <- as.matrix(data.frame( + k_parent = rlnorm(n, log(sfo_pop$k_parent), 0.001))) + sampling_times = c(0, 1, 3, 7, 14, 28, 60, 90, 120) + err_1 = list(const = 1, prop = 0.05) + tc <- function(value) sigma_twocomp(value, err_1$const, err_1$prop) + set.seed(123456) + ds_sfo <- lapply(1:n, function(i) { + ds_mean <- mkinpredict(SFO, sfo_parms[i, ], + c(parent = sfo_pop$parent_0), sampling_times) + add_err(ds_mean, tc, n = 1)[[1]] + }) + m_mmkin <- mmkin("SFO", ds_sfo, error_model = "tc", quiet = TRUE) + m_saem_1 <- saem(m_mmkin) + expect_equal( + as.character(illparms(m_saem_1)), + c("sd(parent_0)", "sd(log_k_parent)")) + m_saem_2 <- saem(m_mmkin, no_random_effect = "parent_0") + expect_equal( + as.character(illparms(m_saem_2)), + "sd(log_k_parent)") +} |