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The reason the pediatric FIM does not match is because you mis-translated the model using:
KA<-tKa*exp(eta.ka)* (pedCL^(isPediatric)) # add covariate for pediatrics
Once you correct to:
CL<-tCl*exp(eta.cl)* (pedCL^(isPediatric)) # add covariate for pediatrics
The FIM matches. I have updated the example in your branch (you will need to pull the changes).
Also in the babelmixr2 translation the model does not have a parameter 5, so this is the reason this does not exist. If you update this to index 4 it works just fine.
However, this is really not that user-friendly, so I have added the function:
babelBpopIdx(babel.db.all, "pedCL")
Which will query the babel.db.all for the "pedCL" parameter and give the correct index. This is in #136
evaluate_power gives an error
This happens even though parameter number 5 is not fixed - likely a poped error and nothing can be done
Also in this example, the pediatric FIM does not match 1:1 with the poped examples. Not sure why that is.
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