There is work going on on two byte compilers for R: http://www.stat.uiowa.edu/~luke/R/compiler/
http://www.milbo.users.sonic.net/ra You could check whether running under either of those speeds up your R code sufficiently that you don't need to rewrite it. On Sat, Nov 21, 2009 at 9:29 AM, Jean Legeande <jean.legea...@gmail.com> wrote: > Dear R users, > > I would like to make my R code for MCMC faster. It is possible to integrate > C code into R but I think C is too complicated for me. I would need a C > introduction only for MCMC and I do not know if such a thing exists. > > I was thinking of Python (and scipy). Where could I read about its > integration into R ? How developed are the statistical packages in Python ? > I could not find a Python package on the web with functions to simulate > Wishart, or multivariate gamma or student distributions. > > Since I am a little bit lost, I write this message to the R help list. Sorry > for these naive questions and thanks for your help. > > Best, > Jean > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > 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 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.
