问题
I am running a dredge of a linear mixed effect model in the MuMin package in R, The model is quite big (see below)
> Monster <- lmer(Fw.FratioFall ~ Average_mintemp_winter + (Average_mintemp_winter^2)
> + percentage_woody_coverage + (percentage_woody_coverage^2)
> + kmRoads.km2 + (kmRoads.km2^2) + Fracking
> + WELLS_ACTIVED + (WELLS_ACTIVED^2) + BadlandsCoyote.1000_mi
> + (BadlandsCoyote.1000_mi^2) + cougar_presence + COYOTE_springsurveys
> + (COYOTE_springsurveys^2) + d3.1 + (d3.1^2) + WT_DEER_springsurveys
> + (WT_DEER_springsurveys^2) + WT_DEER_fallsurveys + (WT_DEER_fallsurveys^2)
> + ELK_springsurveys + (ELK_springsurveys^2) + ELK_fallsurveys + (ELK_fallsurveys^2)
> + (BadlandsCoyote.1000_mi*WELLS_ACTIVED) + (BadlandsCoyote.1000_mi*d3.1)
> + (BadlandsCoyote.1000_mi*WELLS_ACTIVED*d3.1)
> + (cougar_presence*percentage_woody_coverage)
> + (COYOTE_springsurveys*WELLS_ACTIVED)
> + (percentage_woody_coverage*cougar_presence*COYOTE_springsurveys)
> + (Average_mintemp_winter*COYOTE_springsurveys)
> + (Average_mintemp_winter*BadlandsCoyote.1000_mi)
> + year + (1 | YEAR) + (year | StudyArea), REML = F, data = mydata)
the Dredge function has been running now for 15 hours on an i7 processor and I am wondering if this is normal, what kind of time frame should I expect for a model this size?
I have checked the logs and R hasnt crashed, the dredge is still running (it is producing "singular fit" models in abundance)
singular fit
singular fit
singular fit
singular fit
singular fit
singular fit
I tested a smaller model and the dredge function took approximately a minute
Smaller model
> sample <- lmer(Fw.FratioFall ~ Average_mintemp_winter +
> (Average_mintemp_winter^2) + year + (1 | YEAR) + (year | StudyArea),
> REML = F, data = mydata)
Can anyone advise on time frames for a model dredge with the MuMin package. Thank you.
来源:https://stackoverflow.com/questions/53813706/mumin-package-dredge-of-model-still-running-15-hours-later