diffeqr: Solving Differential Equations (ODEs, SDEs, DDEs, DAEs)

An interface to 'DifferentialEquations.jl' <http://docs.juliadiffeq.org/latest/> from the R programming language. It has unique high performance methods for solving ordinary differential equations (ODE), stochastic differential equations (SDE), delay differential equations (DDE), differential-algebraic equations (DAE), and more. Much of the functionality, including features like adaptive time stepping in SDEs, are unique and allow for multiple orders of magnitude speedup over more common methods. 'diffeqr' attaches an R interface onto the package, allowing seamless use of this tooling by R users.

Version: 0.1.1
Depends: R (≥ 3.4.0)
Imports: JuliaCall, stringr
Suggests: testthat, knitr, rmarkdown
Published: 2018-04-27
Author: Christopher Rackauckas [aut, cre]
Maintainer: Christopher Rackauckas <me at chrisrackauckas.com>
License: MIT + file LICENSE
URL: https://github.com/JuliaDiffEq/diffeqr
NeedsCompilation: no
SystemRequirements: Julia (>= 0.6.0), DifferentialEquations.jl
Materials: README NEWS
CRAN checks: diffeqr results


Reference manual: diffeqr.pdf
Vignettes: Solving Differential-Algebraic Equations (DAE) in R with diffeqr
Solving Delay Differential Equations (DDE) in R with diffeqr
Solving Ordinary Differential Equations (ODE) in R with diffeqr
Solving Stochastic Differential Equations (SDE) in R with diffeqr
Package source: diffeqr_0.1.1.tar.gz
Windows binaries: r-devel: diffeqr_0.1.1.zip, r-release: diffeqr_0.1.1.zip, r-oldrel: diffeqr_0.1.1.zip
OS X binaries: r-release: diffeqr_0.1.1.tgz, r-oldrel: diffeqr_0.1.1.tgz
Old sources: diffeqr archive


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