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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:
509 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

Variance model: Constant variance 

Mean of starting values for individual parameters:
      parent_0           k_m1 f_parent_to_m1             k1             k2 
       1.0e+02        4.8e-03        4.8e-01        6.8e-02        1.3e-02 
             g 
       4.2e-01 

Fixed degradation parameter values:
None

Results:

Likelihood computed by importance sampling
   AIC  BIC logLik
  2645 2654  -1310

Optimised parameters:
                  est.   lower   upper
parent_0       1.0e+02  99.627 1.0e+02
k_m1           4.8e-03   0.004 5.6e-03
f_parent_to_m1 4.8e-01   0.437 5.2e-01
k1             6.5e-02   0.051 8.0e-02
k2             1.2e-02   0.010 1.4e-02
g              4.3e-01   0.362 5.0e-01

Correlation: 
               prnt_0 k_m1   f_p__1 k1     k2    
k_m1           -0.156                            
f_parent_to_m1 -0.157  0.372                     
k1              0.159  0.000 -0.029              
k2              0.074  0.145  0.032  0.332       
g              -0.072 -0.142 -0.044 -0.422 -0.570

Random effects:
                  est.  lower upper
SD.parent_0       1.14  0.251  2.03
SD.k_m1           0.14 -0.073  0.35
SD.f_parent_to_m1 0.29  0.176  0.41
SD.k1             0.36  0.211  0.52
SD.k2             0.18  0.089  0.27
SD.g              0.32  0.098  0.53

Variance model:
    est. lower upper
a.1  2.7   2.5   2.9

Resulting formation fractions:
              ff
parent_m1   0.48
parent_sink 0.52

Estimated disappearance times:
       DT50 DT90 DT50back DT50_k1 DT50_k2
parent   25  145       44      11      58
m1      145  481       NA      NA      NA

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