Make mixed model test data permanent to ensure reproducibility

To ensure that tests on different platforms work on the same data, the
mixed modelling test data previosly generated in
tests/testthat/setup_script.R were generated once using the script in
inst/dataset/generation/ds_mixed.R, and are now distributed with the
package.

1 files changed, 0 insertions, 87 deletions

diff --git a/tests/testthat/summary_saem_biphasic_s.txt b/tests/testthat/summary_saem_biphasic_s.txt
deleted file mode 100644
index 7c337843..00000000
--- a/tests/testthat/summary_saem_biphasic_s.txt
+++ /dev/null
@@ -1,87 +0,0 @@
-saemix version used for fitting:      Dummy 0.0 for testing 
-mkin version used for pre-fitting:  Dummy 0.0 for testing 
-R version used for fitting:         Dummy R version for testing 
-Date of fit:     Dummy date for testing 
-Date of summary: Dummy date for testing 
-
-Equations:
-d_parent/dt = - ((k1 * g * exp(-k1 * time) + k2 * (1 - g) * exp(-k2 *
-           time)) / (g * exp(-k1 * time) + (1 - g) * exp(-k2 * time)))
-           * parent
-d_m1/dt = + f_parent_to_m1 * ((k1 * g * exp(-k1 * time) + k2 * (1 - g)
-           * exp(-k2 * time)) / (g * exp(-k1 * time) + (1 - g) *
-           exp(-k2 * time))) * parent - k_m1 * m1
-
-Data:
-510 observations of 2 variable(s) grouped in 15 datasets
-
-Model predictions using solution type analytical 
-
-Fitted in test time 0 s
-Using 300, 100 iterations and 4 chains
-
-Variance model: Two-component variance function 
-
-Mean of starting values for individual parameters:
-      parent_0           k_m1 f_parent_to_m1             k1             k2 
-         1e+02          7e-03          5e-01          1e-01          2e-02 
-             g 
-         5e-01 
-
-Fixed degradation parameter values:
-None
-
-Results:
-
-Likelihood computed by importance sampling
-   AIC  BIC logLik
-  2334 2344  -1153
-
-Optimised parameters:
-                   est.  lower upper
-parent_0          1e+02  1e+02 1e+02
-k_m1              7e-03  6e-03 7e-03
-f_parent_to_m1    5e-01  4e-01 5e-01
-k1                1e-01  9e-02 1e-01
-k2                2e-02  2e-02 3e-02
-g                 5e-01  5e-01 5e-01
-a.1               9e-01  8e-01 1e+00
-b.1               5e-02  5e-02 6e-02
-SD.parent_0       3e-02 -5e+01 5e+01
-SD.k_m1           2e-01  1e-01 3e-01
-SD.f_parent_to_m1 3e-01  2e-01 4e-01
-SD.k1             4e-01  2e-01 5e-01
-SD.k2             3e-01  2e-01 5e-01
-SD.g              2e-01  6e-02 4e-01
-
-Correlation: 
-               pr_0 k_m1 f___ k1   k2  
-k_m1           -0.2                    
-f_parent_to_m1 -0.3  0.1               
-k1              0.1  0.0  0.0          
-k2              0.0  0.0  0.0  0.1     
-g               0.1 -0.1  0.0 -0.2 -0.2
-
-Random effects:
-                  est.  lower upper
-SD.parent_0       0.03 -49.24  49.3
-SD.k_m1           0.23   0.13   0.3
-SD.f_parent_to_m1 0.30   0.19   0.4
-SD.k1             0.40   0.25   0.5
-SD.k2             0.34   0.21   0.5
-SD.g              0.21   0.06   0.4
-
-Variance model:
-    est. lower upper
-a.1 0.93  0.79  1.06
-b.1 0.05  0.05  0.06
-
-Resulting formation fractions:
-             ff
-parent_m1   0.5
-parent_sink 0.5
-
-Estimated disappearance times:
-       DT50 DT90 DT50back DT50_k1 DT50_k2
-parent   13   73       22       6      32
-m1      105  348       NA      NA      NA