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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:
95 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 
          94           -2 

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          0.7

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

Results:

Likelihood computed by importance sampling
  AIC BIC logLik
  542 541   -266

Optimised parameters:
                 est. lower upper
parent_0        92.52 89.11  95.9
log_k_parent    -1.66 -2.07  -1.3
a.1              2.03  1.60   2.5
b.1              0.09  0.07   0.1
SD.log_k_parent  0.51  0.22   0.8

Correlation: 
             pr_0
log_k_parent 0.1 

Random effects:
                est. lower upper
SD.log_k_parent  0.5   0.2   0.8

Variance model:
    est. lower upper
a.1 2.03  1.60   2.5
b.1 0.09  0.07   0.1

Backtransformed parameters:
         est. lower upper
parent_0 92.5  89.1  95.9
k_parent  0.2   0.1   0.3

Estimated disappearance times:
       DT50 DT90
parent    4   12

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