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JuliaCall: Seamless Integration Between R and 'Julia'

Provides an R interface to 'Julia', which is a high-level, high-performance dynamic programming language for numerical computing, see <https://julialang.org/> for more information. It provides a high-level interface as well as a low-level interface. Using the high level interface, you could call any 'Julia' function just like any R function with automatic type conversion. Using the low level interface, you could deal with C-level SEXP directly while enjoying the convenience of using a high-level programming language like 'Julia'.

Version:0.17.6
Depends:R (≥ 3.4.0)
Imports:utils,Rcpp (≥ 0.12.7),knitr (≥ 1.28),rjson
LinkingTo:Rcpp
Suggests:testthat,rmarkdown,rappdirs,sass
Published:2024-12-07
DOI:10.32614/CRAN.package.JuliaCall
Author:Changcheng Li [aut, cre], Christopher Rackauckas [ctb], Randy Lai [ctb], Dmitri Grominski [ctb], Nagi Teramo [ctb]
Maintainer:Changcheng Li <cxl508 at psu.edu>
BugReports:https://github.com/JuliaInterop/JuliaCall/issues
License:MIT + fileLICENSE
URL:https://github.com/JuliaInterop/JuliaCall
NeedsCompilation:yes
SystemRequirements:Julia >= 1.0.0, RCall.jl
Citation:JuliaCall citation info
Materials:README,NEWS
In views:NumericalMathematics
CRAN checks:JuliaCall results

Documentation:

Reference manual:JuliaCall.html ,JuliaCall.pdf
Vignettes:JuliaCall in Jupyter R Notebook (source,R code)
Julia in RMarkdown (source,R code)

Downloads:

Package source: JuliaCall_0.17.6.tar.gz
Windows binaries: r-devel:JuliaCall_0.17.6.zip, r-release:JuliaCall_0.17.6.zip, r-oldrel:JuliaCall_0.17.6.zip
macOS binaries: r-release (arm64):JuliaCall_0.17.6.tgz, r-oldrel (arm64):JuliaCall_0.17.6.tgz, r-release (x86_64):JuliaCall_0.17.6.tgz, r-oldrel (x86_64):JuliaCall_0.17.6.tgz
Old sources: JuliaCall archive

Reverse dependencies:

Reverse imports:BayesFluxR,bigsimr,diffeqr,iai,rjuliabugs,sMTL
Reverse suggests:knitr

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=JuliaCallto link to this page.


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