Package: diffeqr 2.1.0

Christopher Rackauckas

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

An interface to 'DifferentialEquations.jl' <https://diffeq.sciml.ai/dev/> 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. Supports GPUs, with support for CUDA (NVIDIA), AMD GPUs, Intel oneAPI GPUs, and Apple's Metal (M-series chip GPUs). 'diffeqr' attaches an R interface onto the package, allowing seamless use of this tooling by R users. For more information, see Rackauckas and Nie (2017) <doi:10.5334/jors.151>.

Authors:Christopher Rackauckas [aut, cre, cph]

diffeqr_2.1.0.tar.gz
diffeqr_2.1.0.zip(r-4.7)diffeqr_2.1.0.zip(r-4.6)diffeqr_2.1.0.zip(r-4.5)
diffeqr_2.1.0.tgz(r-4.6-any)diffeqr_2.1.0.tgz(r-4.5-any)
diffeqr_2.1.0.tar.gz(r-4.7-any)diffeqr_2.1.0.tar.gz(r-4.6-any)
diffeqr_2.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
diffeqr/json (API)
NEWS

# Install 'diffeqr' in R:

install.packages('diffeqr', repos = c('https://sciml.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/sciml/diffeqr/issues

On CRAN:

dae dde delay-differential-equations differential-algebraic-equations differential-equations ode ordinary-differential-equations scientific-machine-learning sciml sde stochastic-differential-equations

8.49 score 148 stars 40 scripts 271 downloads 4 exports 8 dependencies

Last updated from:e9ba6b5942. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	127
source / vignettes	OK	179
linux-release-x86_64	OK	140
macos-release-arm64	OK	157
macos-oldrel-arm64	OK	154
windows-devel	OK	116
windows-release	OK	76
windows-oldrel	OK	70
wasm-release	OK	110