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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 = - k_parent * parent
Data:
104 observations of 1 variable(s) grouped in 6 datasets
Model predictions using solution type analytical
Fitted in test time 0 s
Using 300, 100 iterations and 9 chains
Variance model: Two-component variance function
Mean of starting values for individual parameters:
parent_0 log_k_parent
101 -3
Fixed degradation parameter values:
None
Results:
Likelihood computed by importance sampling
AIC BIC logLik
524 523 -257
Optimised parameters:
est. lower upper
parent_0 100.68 99.27 102.08
log_k_parent -3.38 -3.55 -3.21
a.1 0.87 0.59 1.14
b.1 0.05 0.04 0.06
SD.log_k_parent 0.21 0.09 0.33
Correlation:
pr_0
log_k_parent 0.1
Random effects:
est. lower upper
SD.log_k_parent 0.2 0.09 0.3
Variance model:
est. lower upper
a.1 0.87 0.59 1.14
b.1 0.05 0.04 0.06
Backtransformed parameters:
est. lower upper
parent_0 1e+02 99.27 1e+02
k_parent 3e-02 0.03 4e-02
Estimated disappearance times:
DT50 DT90
parent 20 68
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