Dear list, I am trying to do an automated model selection of a glmm (function glmer; package: lme4) containing a large number of predictors. As far as i understand, glmulti is able to devide the process into chuncks and proceed by parallel processing on on multiple cores. Unfortunately this does not seem to work and i could not really fid any advice on the matter on other forums. Specifically i have the following questions:
1) does parallel processing only work for exhaustive processing (glmulti(..., method = "h", ....)) or also for the generic algorithm (glmulti(..., method = "g", ....))? 2) do i need to invoke another package designed for parallel processing (e.g. package::parallel or package::snow) to set up the necessary computational clusters before calling glmulti, or can glmulti address the differend cores of my pc on its own? Any help would be greatly appreciated! cheers, marc -- View this message in context: http://r.789695.n4.nabble.com/Multi-core-processing-in-glmulti-tp4664546.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
