nlme 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

Data:
270 observations of 1 variable(s) grouped in 15 datasets

Model predictions using solution type analytical 

Fitted in test time 0 s using 5 iterations

Variance model: Two-component variance function 

Mean of starting values for individual parameters:
parent_0   log_k1   log_k2 g_qlogis 
   100.2     -2.6     -4.2      0.1 

Fixed degradation parameter values:
None

Results:

   AIC  BIC logLik
  1410 1446   -695

Optimised, transformed parameters with symmetric confidence intervals:
         lower  est. upper
parent_0  98.7 100.1 101.5
log_k1    -2.9  -2.7  -2.5
log_k2    -4.2  -4.1  -4.0
g_qlogis  -0.7  -0.4  -0.2

Correlation: 
         pr_0 lg_1 lg_2
log_k1    0.3          
log_k2    0.1  0.2     
g_qlogis -0.1 -0.5 -0.4

Random effects:
 Formula: list(parent_0 ~ 1, log_k1 ~ 1, log_k2 ~ 1, g_qlogis ~ 1)
 Level: ds
 Structure: Diagonal
        parent_0 log_k1 log_k2 g_qlogis Residual
StdDev:        2    0.3    0.2      0.2        1

Variance function:
 Structure: Constant plus proportion of variance covariate
 Formula: ~fitted(.) 
 Parameter estimates:
     const       prop 
 0.9227472 -0.0480500 

Backtransformed parameters with asymmetric confidence intervals:
         lower  est. upper
parent_0 98.69 1e+02 1e+02
k1        0.06 7e-02 9e-02
k2        0.01 2e-02 2e-02
g         0.34 4e-01 5e-01

Estimated disappearance times:
       DT50 DT90 DT50back DT50_k1 DT50_k2
parent   23  111       33      10      43