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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
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