Developing an R package using Julia for a statistical model

[Palli]

It’s already possible to call Julia from R (as other have suggested for package development), and done, and note also RCall.jl for calling in other direction, with its R mode.

Note also:

Julia as a universal platform for statistical software development

I just posted a paper presenting a vision of using Julia as a universal back end for statistical software development. Do things once in Julia–optimize, maintain, add features–then call from R or Python or Matlab or Stata. The motivating example is my pair of packages for Stata, which is a commercial statistics program that is popular in the social sciences and elsewhere. julia provides a C-based bridge from Stata to Julia, like JuliaCall for R. It has routines for fast data copying and provide…

And upcoming juliac compiler will likely make this even more compelling, but it’s strictly not needed, current tools good enough.

I think everything is handled with this dual Julia/Python binding package

That PythonCall package is of course Python specific, but it relies on CondaPkg.jl which isn’t. I’m not sure, maybe, probably, it helps for R users installing Julia dependencies?