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: 0.9.3
Depends: R (≥ 3.2.0)
Imports: inline, utils
Suggests: testthat, knitr, rmarkdown
Published: 2017-10-12
Author: Changcheng Li [aut, cre]
Maintainer: Changcheng Li <cxl508 at psu.edu>
BugReports: https://github.com/Non-Contradiction/JuliaCall/issues
License: MIT + file LICENSE
URL: https://github.com/Non-Contradiction/JuliaCall
NeedsCompilation: no
SystemRequirements: Julia >= 0.5.0, RCall.jl
Materials: README NEWS
CRAN checks: JuliaCall results

Downloads:

Reference manual: JuliaCall.pdf
Vignettes: JuliaCall Gallery
JuliaCall in Jupyter R Notebook
Package source: JuliaCall_0.9.3.tar.gz
Windows binaries: r-devel: JuliaCall_0.9.3.zip, r-release: JuliaCall_0.9.3.zip, r-oldrel: JuliaCall_0.9.3.zip
OS X El Capitan binaries: r-release: JuliaCall_0.9.3.tgz
OS X Mavericks binaries: r-oldrel: JuliaCall_0.9.3.tgz
Old sources: JuliaCall archive

Reverse dependencies:

Reverse imports: convexjlr

Linking:

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