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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 = - ((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

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