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 = - k_parent * parent

Data:
106 observations of 1 variable(s) grouped in 6 datasets

Model predictions using solution type analytical 

Fitted in test time 0 s
Using 300, 100 iterations and 9 chains

Variance model: Two-component variance function 

Mean of starting values for individual parameters:
    parent_0 log_k_parent 
         101           -3 

Fixed degradation parameter values:
None

Results:

Likelihood computed by importance sampling
  AIC BIC logLik
  533 531   -261

Optimised parameters:
                  est.  lower  upper
parent_0        101.01  99.57 102.45
log_k_parent     -3.32  -3.53  -3.11
a.1               0.90   0.64   1.17
b.1               0.05   0.04   0.06
SD.log_k_parent   0.27   0.11   0.42

Correlation: 
             pr_0
log_k_parent 0.1 

Random effects:
                est. lower upper
SD.log_k_parent  0.3   0.1   0.4

Variance model:
    est. lower upper
a.1 0.90  0.64  1.17
b.1 0.05  0.04  0.06

Backtransformed parameters:
          est. lower upper
parent_0 1e+02 1e+02 1e+02
k_parent 4e-02 3e-02 4e-02

Estimated disappearance times:
       DT50 DT90
parent   19   64