Package: JuliaCall 0.17.5

Changcheng Li

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'.

Authors:Changcheng Li [aut, cre], Randy Lai [ctb], Dmitri Grominski [ctb], Nagi Teramo [ctb]

JuliaCall_0.17.5.tar.gz
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JuliaCall.pdf |JuliaCall.html
JuliaCall/json (API)
NEWS

# Install JuliaCall in R:
install.packages('JuliaCall', repos = c('https://fastverse.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/non-contradiction/juliacall/issues

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

julia

29 exports 261 stars 6.43 score 7 dependencies 7 dependents 45.0k downloads

Last updated 11 months agofrom:c05473bea78a0197c639f7e82ab1c6f2e943e1cc

Exports:%>J%autowrapeng_juliacallfieldfield<-fieldsinstall_juliajulia_assignjulia_calljulia_commandjulia_consolejulia_do.calljulia_evaljulia_existsjulia_functionjulia_helpjulia_install_packagejulia_install_package_if_neededjulia_installed_packagejulia_libraryjulia_markdown_setupjulia_notebook_setupjulia_pkg_hookjulia_pkg_importjulia_setupjulia_sourcejulia_update_packageJuliaObjectplotsViewer

Dependencies:evaluatehighrknitrRcpprjsonxfunyaml

Julia in RMarkdown

Rendered fromJulia_in_RMarkdown.Rmdusingknitr::rmarkdownon Jun 11 2024.

Last update: 2017-11-16
Started: 2017-11-16

JuliaCall in Jupyter R Notebook

Rendered fromJuliaCall_in_Jupyter_R_Notebook.Rmdusingknitr::rmarkdownon Jun 11 2024.

Last update: 2017-10-12
Started: 2017-09-20