If you read further in Drew's posts (which I highly recommend) he says that C++/Rcpp isn't the best for wrapping Fortran calls, and that it is faster and cleaner to use C. I have a relatively detailed blog post on building packages with Fortran (or raw C) code; I hope you may find it useful in your case [1].
Thanks, Avi [1] https://www.avrahamadler.com/2018/12/09/the-need-for-speed-part-1-building-an-r-package-with-fortran/ On Sun, May 26, 2019 at 3:22 PM Neal Fultz <nfu...@gmail.com> wrote: > > I think the current best practice is to wrap the Fortran code in a C > helper, and invoke that using .Call - more information on that is available > in Hadley's book - http://adv-r.had.co.nz/C-interface.html > > It shouldn't be too much work, maybe another 10-20 lines of code, most of > which could probably autogenerated using Rcpp if you wanted to take that > route. > > On Sun, May 26, 2019 at 6:31 AM Berry Boessenkool < > berryboessenk...@hotmail.com> wrote: > > > > > Recently, users of my package rdwd have provided Fortran code for a nice > > extension of the package. > > According to the following site, calling .Fortran() is no longer > > recommended: > > https://github.com/wrathematics/Romp/blob/master/README.md#fortran > > > > Since this is my first time using native code, I'd highly appreciate any > > thoughts on the following question: > > How much additional work should I put into avoiding .Fortran() for > > long-term CRAN suitability? > > > > Thanks ahead, > > Berry > > > > PS: In case you want a look at the (two very short) Fortran routines: > > https://github.com/brry/rdwd/tree/master/src > > and their call in R: > > https://github.com/brry/rdwd/blob/master/R/readRadarFile.R#L119 > > > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > R-package-devel@r-project.org mailing list > > https://stat.ethz.ch/mailman/listinfo/r-package-devel > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-package-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-package-devel ______________________________________________ R-package-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-package-devel
