In nlmixrdevelopment/RxODE: Facilities for Simulating from ODE-Based Models

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RxODE

Overview

RxODE is an R package for solving and simulating from ode-based models. These models are convert the RxODE mini-language to C and create a compiled dll for fast solving. ODE solving using RxODE has a few key parts:

RxODE() which creates the C code for fast ODE solving based on a simple syntax related to Leibnitz notation.
The event data, which can be:
a NONMEM or deSolve compatible data frame, or
created with et() or EventTable() for easy simulation of events
The data frame can be augmented by adding time-varying or adding individual covariates (iCov= as needed)
rxSolve() which solves the system of equations using initial conditions and parameters to make predictions
With multiple subject data, this may be parallelized.
With single subject the output data frame is adaptive
Covariances and other metrics of uncertanty can be used to simulate while solving