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