[R] using Fortran with R

[ProfJCNash]

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 <bhh at xs4all.nl> wrote:
> 
>>
>>> On 6 Nov 2015, at 17:23, Erin Hodgess <erinm.hodgess at 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.hodgess at gmail.com
>>>
>>>       [[alternative HTML version deleted]]
>>>
>>> ______________________________________________
>>> R-help at 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.
>>
>>
> 
>