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: | 0.17.4 |
| Depends: | R (≥ 3.4.0) |
| Imports: | utils, Rcpp (≥ 0.12.7), knitr (≥ 1.28) |
| LinkingTo: | Rcpp |
| Suggests: | testthat, rmarkdown, rappdirs |
| Published: | 2021-05-16 |
| 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 |
| Citation: | JuliaCall citation info |
| 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_0.17.4.tar.gz |
| Windows binaries: | r-devel: JuliaCall_0.17.4.zip, r-release: JuliaCall_0.17.4.zip, r-oldrel: JuliaCall_0.17.4.zip |
| macOS binaries: | r-release (arm64): JuliaCall_0.17.4.tgz, r-oldrel (arm64): JuliaCall_0.17.4.tgz, r-release (x86_64): JuliaCall_0.17.4.tgz, r-oldrel (x86_64): JuliaCall_0.17.4.tgz |
| Old sources: | JuliaCall archive |
| Reverse imports: | bigsimr, convexjlr, diffeqr, iai, phenofit, RTIGER |
| Reverse suggests: | knitr |
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