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: | 0.1.3 |
Depends: | R (≥ 3.4.0) |
Imports: | JuliaCall, stringr |
Suggests: | testthat, knitr, rmarkdown |
Published: | 2019-09-22 |
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 |
Citation: | diffeqr citation info |
Materials: | README NEWS |
In views: | DifferentialEquations |
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_0.1.3.tar.gz |
Windows binaries: | r-devel: diffeqr_0.1.3.zip, r-release: diffeqr_0.1.3.zip, r-oldrel: diffeqr_0.1.3.zip |
macOS binaries: | r-release: diffeqr_0.1.3.tgz, r-oldrel: diffeqr_0.1.3.tgz |
Old sources: | diffeqr archive |
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