Some improvements for borderline cases

- fit_with_errors for saem()
- test_log_parms for mean_degparms() and saem()

1 files changed, 5 insertions, 5 deletions

diff --git a/tests/testthat/print_nlme_biphasic.txt b/tests/testthat/print_nlme_biphasic.txt
index f86bda76..f40d438d 100644
--- a/tests/testthat/print_nlme_biphasic.txt
+++ b/tests/testthat/print_nlme_biphasic.txt
@@ -9,21 +9,21 @@ d_m1/dt = + f_parent_to_m1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g)
            exp(-k2 * time))) * parent - k_m1 * m1
 
 Data:
-509 observations of 2 variable(s) grouped in 15 datasets
+507 observations of 2 variable(s) grouped in 15 datasets
 
-Log-likelihood: -1329
+Log-likelihood: -1326
 
 Fixed effects:
  list(parent_0 ~ 1, log_k_m1 ~ 1, f_parent_qlogis ~ 1, log_k1 ~ 1,      log_k2 ~ 1, g_qlogis ~ 1) 
        parent_0        log_k_m1 f_parent_qlogis          log_k1          log_k2 
-         100.43           -5.34           -0.08           -2.90           -4.34 
+          100.7            -5.4            -0.1            -2.8            -4.5 
        g_qlogis 
-          -0.19 
+           -0.1 
 
 Random effects:
  Formula: list(parent_0 ~ 1, log_k_m1 ~ 1, f_parent_qlogis ~ 1, log_k1 ~ 1,      log_k2 ~ 1, g_qlogis ~ 1)
  Level: ds
  Structure: Diagonal
         parent_0 log_k_m1 f_parent_qlogis log_k1 log_k2 g_qlogis Residual
-StdDev:        1      0.1             0.3    0.6    0.5      0.3        3
+StdDev:        1     0.03             0.3    0.3    0.2      0.3        3