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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 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
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