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.sen...@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]] > > ______________________________________________ > R-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel > -- Robin Hankin Uncertainty Analyst hankin.ro...@gmail.com ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
