[R-sig-ME] mgcv gam/bam model selection with random effects and AR terms

Ben Bolker bbo|ker @end|ng |rom gm@||@com
Thu Jul 18 17:07:27 CEST 2019

   I'm not sure of the answer, but in general I'd say if you're
interested in out-of-sample predictive accuracy, you should try to find
something analogous to AIC.  R^2/deviance only tell you how well your
model fits to a specific set of data ...

On 2019-07-17 9:46 a.m., Gi-Mick Wu wrote:
> Dear Mathew,
> I was looking for information on model selection for a bam model with an autocorrelation structure and essentially only found your unanswered post (https://stat.ethz.ch/pipermail/r-sig-mixed-models/2017q2/025566.html).
> May I ask if you found any solution for this?
> Best,
> Mick
> 	[[alternative HTML version deleted]]
> _______________________________________________
> R-sig-mixed-models using r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models

More information about the R-sig-mixed-models mailing list