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
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