Re: [Rd] Using GSL Routines

From: robin hankin <hankin.robin_at_gmail.com>
Date: Thu, 14 Apr 2011 18:07:32 +1200

Hi

the gsl R package includes many wrappers which you may find useful, but if you write new ones please let me know and I'll include them in a future release.

best wishes

Robin

On Thu, Apr 14, 2011 at 5:49 PM, Mohit Dayal <ken.sensei_at_gmail.com> wrote:
> Dear R-programmers,
>
> I am trying out certain methods in R, and the statistics require me to
> calculate n-(sample size) dimensional equations. They are not really very
> hard to solve - my home-brew implentation of Newton-Raphson in R succeeds
> most of time with simulated data. (Note that I am assured of a unique
> solution by theory). Problem comes in with real data, for which I should
> really implement a good line search (convergence issues). Being lazy, i
> would like to link to the GSL routines which are of course faster and more
> reliable.
>
> My question is should i use the C - GSL routines or the Python ones in
> NumPy? My major concern is the portability of the code i write: really dont
> want users to have to install a bunch of software just to use my package.
> (Im looking at Windows here)
>
> Alternatively, should i just hack out the code (fsolve) and put it in my
> package?
>
> Thanks for the advice,
> Mohit Dayal
> Applied Statistics & Computing Lab
> ISB
>
>        [[alternative HTML version deleted]]
>
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>

-- 
Robin Hankin
Uncertainty Analyst
hankin.robin_at_gmail.com

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