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 2702 2711 -1338 Optimised parameters: est. lower upper parent_0 1.0e+02 1.0e+02 1.0e+02 k_m1 4.7e-03 3.9e-03 5.6e-03 f_parent_to_m1 4.8e-01 4.3e-01 5.2e-01 k1 4.8e-02 3.1e-02 6.5e-02 k2 1.3e-02 8.7e-03 1.7e-02 g 5.0e-01 4.1e-01 5.8e-01 Correlation: prnt_0 k_m1 f_p__1 k1 k2 k_m1 -0.152 f_parent_to_m1 -0.143 0.366 k1 0.097 -0.014 -0.021 k2 0.022 0.083 0.023 0.101 g -0.084 -0.144 -0.044 -0.303 -0.364 Random effects: est. lower upper SD.parent_0 1.22 0.316 2.12 SD.k_m1 0.15 -0.079 0.38 SD.f_parent_to_m1 0.32 0.191 0.44 SD.k1 0.66 0.416 0.90 SD.k2 0.59 0.368 0.80 SD.g 0.16 -0.373 0.70 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 26 127 38 14 54 m1 146 485 NA NA NA