Although R is still predominantly applied for statistical analysis and graphical representation, it is rapidly becoming more suitable for mathematical computing. One of the fields where considerable progress has been made recently is the solution of differential equations. Here we give a brief overview of differential equations that can now be solved by R.
limSolve, rootSolve, deSolve, bvpSolve, ReacTran, PBSddesolve, sde, pomp, bvpSolve, ReacTran, deSolve, deSolve, ReacTran, deSolve, odesolve, odesolve, nlmeODE, FME, ccems, ReacTran
DifferentialEquations, Pharmacokinetics, TimeSeries, Bayesian, Finance, Optimization
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For attribution, please cite this work as
Soetaert, et al., "The R Journal: Solving Differential Equations in R", The R Journal, 2010
BibTeX citation
@article{RJ-2010-013,
author = {Soetaert, Karline and Petzoldt, Thomas and Setzer, R. Woodrow},
title = {The R Journal: Solving Differential Equations in R},
journal = {The R Journal},
year = {2010},
note = {https://doi.org/10.32614/RJ-2010-013},
doi = {10.32614/RJ-2010-013},
volume = {2},
issue = {2},
issn = {2073-4859},
pages = {5-15}
}