scaRabee: An R-based Tool for Model Simulation and Optimization in Pharmacometrics
Introduction | Preliminary notice | What's new? | How to obtain scaRabee | Installation and dependencies | Credits | Reporting bugs | Analysis types | Simulation | Estimation | Direct grid search | Getting started | Creation of a new analysis folder | Creation of new models in an on-going analysis | Editing of the data file | Editing of the parameter file | Editing of the model file | $ANALYSIS | $DERIVED | $IC | $SCALE | $LAGS | $ODE | $DDE | $OUTPUT | $VARIANCE | $SECONDARY | Editing of the master scaRabee script | Execution of the master scaRabee script | Scope of analysis | Design information | Solvers of differential equations | Implementation of dosing history for model defined with differential equations | Implementation of dosing history for model defined with algebraic equations | Analysis examples | Example 1: Simulation of a model defined with algebraic equations at the population level | Example 2: Simulation of inputs into a model defined with ordinary differential equations | Example 3: Simulation of a model defined with ordinary differential equations at the population level | Example 4: Simulation of a model defined with delay differential equations at the population level | Example 5: Estimation of a model defined with algebraic equations at the | Example 6: Simulation of a model defined with ordinary differential equations at the subject level | Example 7: Estimation of a model defined with algebraic equations at the subject level | Example 8: Direct grid search for a model defined with delay differential equations | Network of scaRabee functions | References