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:
104 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 

Starting values for degradation parameters:
    parent_0 log_k_parent 
         101           -3 

Fixed degradation parameter values:
None

Starting values for random effects (square root of initial entries in omega):
             parent_0 log_k_parent
parent_0            4          0.0
log_k_parent        0          0.4

Starting values for error model parameters:
a.1 b.1 
  1   1 

Results:

Likelihood computed by importance sampling
  AIC BIC logLik
  524 523   -257

Optimised parameters:
                  est. lower  upper
parent_0        100.68 99.27 102.08
log_k_parent     -3.38 -3.55  -3.21
a.1               0.87  0.59   1.14
b.1               0.05  0.04   0.06
SD.log_k_parent   0.21  0.09   0.33

Correlation: 
             pr_0
log_k_parent 0.1 

Random effects:
                est. lower upper
SD.log_k_parent  0.2  0.09   0.3

Variance model:
    est. lower upper
a.1 0.87  0.59  1.14
b.1 0.05  0.04  0.06

Backtransformed parameters:
          est. lower upper
parent_0 1e+02 99.27 1e+02
k_parent 3e-02  0.03 4e-02

Estimated disappearance times:
       DT50 DT90
parent   20   68