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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 and 4 chains
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
2681 2690 -1328
Optimised parameters:
est. lower upper
parent_0 1.0e+02 1.0e+02 1.0e+02
k_m1 4.9e-03 4.2e-03 5.6e-03
f_parent_to_m1 4.8e-01 4.3e-01 5.3e-01
k1 6.2e-02 4.7e-02 7.6e-02
k2 1.2e-02 9.6e-03 1.4e-02
g 4.6e-01 4.1e-01 5.1e-01
Correlation:
prn_0 k_m1 f___1 k1 k2
k_m1 -0.17
f_parent_to_m1 -0.14 0.38
k1 0.13 -0.01 -0.02
k2 0.04 0.14 0.03 0.20
g -0.07 -0.21 -0.06 -0.40 -0.53
Random effects:
est. lower upper
SD.parent_0 1.2032 0.27 2.13
SD.k_m1 0.0027 -8.31 8.31
SD.f_parent_to_m1 0.3358 0.21 0.46
SD.k1 0.4210 0.26 0.58
SD.k2 0.2800 0.17 0.39
SD.g 0.0100 -2.72 2.74
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 25 146 44 11 60
m1 142 471 NA NA NA
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