- Clone this project.
- Run
julia --project -e 'using Pkg; Pkg.instantiate()' - Run
julia --project scripts/weave.jl - At this point all the notebooks should be available in
notebooks. - Finally to install R-dependencies, run
julia --project -e 'include("scripts/install_deps.jl"); install_rcall_deps(); install_soss_deps()'.
NB: Make sure you're using Julia 1.6.1 or greater. You might need to replace julia with julia-1.6 in the above.
You need to install the R dependencies either through your system R or using
Conda. The Conda installation can be done using the install_soss_deps function
in scripts/install_deps.jl
Run scripts/weave.jlto generate Jupyter notebooks to notebooks/{RCall,Soss,Turing}.
The original Stan code is in src/stan. The untested translations are in
src/{soss,turing}. The notebook sources are located under src/weave.
The text in this repository is distributed under the CC BY 4.0 License and code is distributed under the New BSD License. It is based on the excellent work done by Lauren Kennedy, Jonah Gabry and Rob Trangucci in https://github.com/jgabry/stancon2018helsinki_intro.