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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:
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
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