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: 0.13.0
Depends: R (≥ 3.4.0)
Imports: utils, R6, Rcpp (≥ 0.12.7)
LinkingTo: Rcpp
Suggests: testthat, knitr, rmarkdown
Published: 2018-05-01
Author: Changcheng Li [aut, cre], Randy Lai [ctb], Dmitri Grominski [ctb], Nagi Teramo [ctb]
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: yes
SystemRequirements: Julia >= 0.6.0, RCall.jl
Materials: README NEWS
In views: NumericalMathematics
CRAN checks: JuliaCall results


Reference manual: JuliaCall.pdf
Vignettes: JuliaCall in Jupyter R Notebook
Julia in RMarkdown
Package source: JuliaCall_0.13.0.tar.gz
Windows binaries: r-devel: JuliaCall_0.13.0.zip, r-release: JuliaCall_0.13.0.zip, r-oldrel: JuliaCall_0.13.0.zip
OS X binaries: r-release: JuliaCall_0.13.0.tgz, r-oldrel: JuliaCall_0.12.2.tgz
Old sources: JuliaCall archive

Reverse dependencies:

Reverse imports: convexjlr, diffeqr
Reverse suggests: knitr


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