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How to run PLE calculations on a Cluster
Max Schelker edited this page Jun 15, 2016 · 1 revision
Load your model and data files as usual and run at least one fit. Then open a Matlab cluster object
c = parcluster('local') and send the job to the cluster
arPLECalcCluster(c) You can fetch the current status and, when finished, the results by running
arPLECalcCluster Plot the likelihood profiles via
arPlotPLE - 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?