# PackageCompiler with R

**URL:** https://discourse.julialang.org/t/packagecompiler-with-r/62069
**Category:** General Usage
**Tags:** package-compiler
**Created:** [May 30, 2021, 1:44am UTC](https://discourse.julialang.org/t/packagecompiler-with-r/62069 "2021-05-30T01:44:56Z")
**Posts on this page:** 2
**Page:** 1

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### Author: ![ParadaCarleton](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/paradacarleton/32/20005_2.png) [@ParadaCarleton](https://discourse.julialang.org/u/ParadaCarleton)
#### Post date: [May 30, 2021, 1:44am UTC](https://discourse.julialang.org/t/packagecompiler-with-r/62069/1 "2021-05-30T01:44:56Z")

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I’m interested in reimplementing some R code in Julia to speed it up, then making it a package on CRAN. Is there a way to use PackageCompiler together with JuliaCall to create an R package that uses Julia without requiring users to install it (or wait for compilation)?

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### Author: ![xiaodai](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/xiaodai/32/15937_2.png) [@xiaodai](https://discourse.julialang.org/u/xiaodai)
#### Post date: [May 30, 2021, 2:13am UTC](https://discourse.julialang.org/t/packagecompiler-with-r/62069/2 "2021-05-30T02:13:24Z")

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I suspect u need to check out the artifacts system.

Check out this package to see what’s done for some inspiration.

I don’t know much beyond that [GitHub - SciML/diffeqr: Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem](https://github.com/SciML/diffeqr)