Did you not look at StatFuns.jl? Bivariate is here: https://github.com/JuliaStats/StatsFuns.jl/blob/e21bc26b1773aeb86bc8df4832db9c371d09ba2b/src/tvpack.jl#L338

Did you not look at StatFuns.jl? Bivariate is here: https://github.com/JuliaStats/StatsFuns.jl/blob/e21bc26b1773aeb86bc8df4832db9c371d09ba2b/src/tvpack.jl#L338 https://github.com/JuliaStats/StatsFuns.jl/blob/e21bc26b1773... . For trivariate you'd just do the same kind of translation process if you have a Fortran code which has an appropriate license of course. If you have an example of a Fortran file for trivariate, we can open an issue on StatFuns.jl and get an undergrad via Google Summer of Code to translate it over, or implement from scratch from a paper's description. The reason why this kind of code is easy to translate is because there is a direct mapping of language features (difficult to translate code is code that uses unique language structures). The only real difficulty of mapping (non-object oriented non-distributed) Fortran into a higher level language is keeping the speed.