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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:
95 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
Starting values for degradation parameters:
parent_0 log_k_parent
94 -2
Fixed degradation parameter values:
None
Starting values for random effects (square root of initial entries in omega):
parent_0 log_k_parent
parent_0 4 0.0
log_k_parent 0 0.7
Starting values for error model parameters:
a.1 b.1
1 1
Results:
Likelihood computed by importance sampling
AIC BIC logLik
542 541 -266
Optimised parameters:
est. lower upper
parent_0 92.52 89.11 95.9
log_k_parent -1.66 -2.07 -1.3
a.1 2.03 1.60 2.5
b.1 0.09 0.07 0.1
SD.log_k_parent 0.51 0.22 0.8
Correlation:
pr_0
log_k_parent 0.1
Random effects:
est. lower upper
SD.log_k_parent 0.5 0.2 0.8
Variance model:
est. lower upper
a.1 2.03 1.60 2.5
b.1 0.09 0.07 0.1
Backtransformed parameters:
est. lower upper
parent_0 92.5 89.1 95.9
k_parent 0.2 0.1 0.3
Estimated disappearance times:
DT50 DT90
parent 4 12
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