Hi Dan, Now I have included source code of the rsampl.h in the GOAL package. Although, rlecuyer is good candidate for random number generator, I currently avoid using it because I wanted results of our submitted manuscript to be completely reproducible. I can reproduce the results using ransampl library by setting seed that I have stored. Changing to other random generator libraries will imply that I have recheck results of the manuscript are reproducible and possibly change some of them which is not possible at this stage. I will reserve that inclusion for the future. I have resubmitted the GOAL package.
thanks avi On Fri, Jan 23, 2015 at 9:37 PM, Levi Waldron <levi.wald...@hunter.cuny.edu> wrote: > On Fri, Jan 23, 2015 at 1:58 PM, Dan Tenenbaum <dtene...@fredhutch.org> > wrote: > > However, you should consider using Rlecuyer as it has no external > dependencies (see Levi's post to this thread). Then your package should > build on windows. > > I think so too - it's also a standard solution in R, implemented > natively in r-core's parallel library and suggested by the snow > library. I used it in my pensim library before transitioning to > parallel, and have tested its streams on hyperthreaded CPUs and > clusters. > > -- > Levi Waldron > Assistant Professor of Biostatistics > City University of New York School of Public Health, Hunter College > 2180 3rd Ave Rm 538 > New York NY 10035-4003 > phone: 212-396-7747 > www.waldronlab.org > > _______________________________________________ > Bioc-devel@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/bioc-devel > [[alternative HTML version deleted]] _______________________________________________ Bioc-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/bioc-devel
