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: 507 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 4.6e-03 4.8e-01 6.4e-02 1.1e-02 g 4.6e-01 Fixed degradation parameter values: None Results: Likelihood computed by importance sampling AIC BIC logLik 2679 2689 -1327 Optimised parameters: est. lower upper parent_0 1.0e+02 1.0e+02 1.0e+02 k_m1 4.8e-03 4.1e-03 5.5e-03 f_parent_to_m1 4.8e-01 4.3e-01 5.2e-01 k1 5.9e-02 4.6e-02 7.2e-02 k2 1.1e-02 9.0e-03 1.3e-02 g 4.9e-01 4.3e-01 5.4e-01 Correlation: prnt_0 k_m1 f_p__1 k1 k2 k_m1 -0.168 f_parent_to_m1 -0.141 0.379 k1 0.139 -0.004 -0.024 k2 0.055 0.154 0.033 0.246 g -0.078 -0.206 -0.058 -0.435 -0.601 Random effects: est. lower upper SD.parent_0 1.1986 0.28 2.12 SD.k_m1 0.0034 -6.85 6.86 SD.f_parent_to_m1 0.3369 0.21 0.46 SD.k1 0.3790 0.24 0.52 SD.k2 0.2666 0.16 0.37 SD.g 0.0401 -0.67 0.75 Variance model: est. lower upper a.1 2.9 2.7 3 Resulting formation fractions: ff parent_m1 0.48 parent_sink 0.52 Estimated disappearance times: DT50 DT90 DT50back DT50_k1 DT50_k2 parent 25 150 45 12 64 m1 145 483 NA NA NA