It's not a full book on the issue, but I have some material in "speeding things up" in my book on Nonlinear parameter estimation tools in R. I suspect the examples are the useful bit.
JN On 15-11-06 12:17 PM, Erin Hodgess wrote: > Great..thanks for the package names. I was going to use the "Writing R > Extensions" but wanted some more material as well. Looking at the other > packages might just do the trick. > > Thanks, > Erin > > > On Fri, Nov 6, 2015 at 10:59 AM, Berend Hasselman <b...@xs4all.nl> wrote: > >> >>> On 6 Nov 2015, at 17:23, Erin Hodgess <erinm.hodg...@gmail.com> wrote: >>> >>> Hello everyone! >>> >>> Could someone recommend a good reference for Fortran with R, please? I >>> know that Dirk has an excellent book for C/C++, but I feel more >> comfortable >>> with Fortran (I'm old school, maybe just old!) >>> >> >> I don't know about a book. >> The best you can do is read Writing R Extensions. >> And have a look at packages using Fortran: nleqslv, geigen, QZ, deSolve, >> minpack.lm, PEIP >> That should give you a good idea how to use Fortran. >> There are surely more but these are the ones I know about. >> >> Berend >> >>> Thank you very much in advance, >>> Sincerely, >>> Erin >>> >>> >>> -- >>> Erin Hodgess >>> Associate Professor >>> Department of Mathematical and Statistics >>> University of Houston - Downtown >>> mailto: erinm.hodg...@gmail.com >>> >>> [[alternative HTML version deleted]] >>> >>> ______________________________________________ >>> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see >>> https://stat.ethz.ch/mailman/listinfo/r-help >>> PLEASE do read the posting guide >> http://www.R-project.org/posting-guide.html >>> and provide commented, minimal, self-contained, reproducible code. >> >> > > ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.