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 1.8e-03 4.8e-01 4.5e-02 1.9e-02 g 5.1e-01 Fixed degradation parameter values: None Results: Likelihood computed by importance sampling AIC BIC logLik 2692 2702 -1333 Optimised parameters: est. lower upper parent_0 1.0e+02 99.3030 1.0e+02 k_m1 2.2e-03 0.0016 2.8e-03 f_parent_to_m1 4.9e-01 0.4477 5.3e-01 k1 4.0e-02 0.0239 5.6e-02 k2 1.5e-02 0.0085 2.2e-02 g 5.0e-01 0.3805 6.2e-01 Correlation: prnt_0 k_m1 f_p__1 k1 k2 k_m1 -0.152 f_parent_to_m1 -0.138 0.396 k1 0.085 -0.036 -0.026 k2 0.005 0.067 0.018 -0.043 g -0.075 -0.113 -0.029 -0.248 -0.263 Random effects: est. lower upper SD.parent_0 1.23 0.39 2.07 SD.k_m1 0.14 -0.48 0.75 SD.f_parent_to_m1 0.28 0.17 0.39 SD.k1 0.71 0.42 1.00 SD.k2 0.78 0.47 1.09 SD.g 0.27 -0.33 0.86 Variance model: est. lower upper a.1 2.7 2.6 2.9 Resulting formation fractions: ff parent_m1 0.49 parent_sink 0.51 Estimated disappearance times: DT50 DT90 DT50back DT50_k1 DT50_k2 parent 27 110 33 17 46 m1 318 1055 NA NA NA