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.NONMEM or deSolve compatible data frame, oret() or EventTable() for easy simulation of events
iCov= as needed)rxSolve() which solves the system of equations using initial conditions and parameters to make predictionsYou can install the released version of RxODE from CRAN with:
install.packages("RxODE")To run RxODE, you need a working c compiler. To use parallel threaded solving in RxODE, this c compiler needs to support open-mp.
You can check to see if R has working c-compile you can check with:
pkgbuild::has_build_tools(debug = TRUE)If you do not have the toolchain, you can set it up as described by the platform information below:
In windows you may simply use installr to install rtools:
install.packages("installr")
library(installr)
install.rtools()Installation on a mac is much similar to RxODE installation under windows. To enable open mp on R and RxODE, you will need to install the gfortran and clang compilers located at https://cran.r-project.org/bin/macosx/tools/
Since the development version of RxODE uses StanHeaders, you will need to make sure your compiler is setup to support C++14, as described in the rstan setup page
Once the C++ toolchain is setup appropriately, you can install the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("nlmixrdevelopment/RxODE")