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Debugging residuals
Clemens Kreutz edited this page May 12, 2022
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Quick info (detailed page has to be created)
Useful functions:
arPlotResiduals
arCollectRes(true,true): Then look at ar.resinfo
arDebugResidual
ar.res_type==1 indicates standard residuals data-model/SD, i.e. conicides with ar.model.data.res
ar.res_type==2 indicates 1/sqrt(2*sigma) residuals, i.e. conicides with ar.model.data.reserr
ar.res_type==3 indicates residuals originating from parameter priors
ar.res_type==4 indicates residuals from random effects
- Installation and system requirements
- Setting up models
- First steps
- Advanced events and pre-equilibration
- Computation of integration-based prediction bands
- How is the architecture of the code and the most important commands?
- What are the most important fields of the global variable ar?
- What are the most important functions?
- Optimization algorithms available in the d2d-framework
- Objective function, likelhood and chi-square in the d2d framework
- How to set up priors?
- How to set up steady state constraints?
- How do I restart the solver upon a step input?
- How to deal with integrator tolerances?
- How to implement a bolus injection?
- How to implement washing and an injection?
- How to implement a moment ODE model?
- How to run PLE calculations on a Cluster?