I don't know if this settles the matter, but if you are modeling Weibull as the Log-Intensity I.E. in a non-homegenous poisson process you can:
#Where T is the length of the series desired Weibull.process<-function(T,shape,scale) { logLambda=rweibull(T,shape,scale) Lambda=exp(logLambda) Point.Process.Counts=rpois(T,Lambda) return(Point.Process.Counts) } I haven't actually tried this code (may contain clerical errors) but I hope it gets you on the right track. Good luck, Ken Hutchison 2011/9/14 Torbjørn Ergon <t.h.er...@bio.uio.no> > Dear list, > > I'm looking for a function to generate (simulate) a random Weibull point > process. Can anyone help? > > Cheers, > > Torbjørn Ergon, University of Oslo > > ______________________________**________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/**listinfo/r-help<https://stat.ethz.ch/mailman/listinfo/r-help> > PLEASE do read the posting guide http://www.R-project.org/** > posting-guide.html <http://www.R-project.org/posting-guide.html> > and provide commented, minimal, self-contained, reproducible code. > [[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.