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'.">

JuliaCall: Seamless Integration Between R and 'Julia' (original) (raw)

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
BugReports: https://github.com/JuliaInterop/JuliaCall/issues
License: MIT + file
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:

Downloads:

Reverse dependencies:

Linking:

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