[R-sig-ME] na.action = na.augment for random effects in lme4?

[Andrew Robinson]

Hi all,

I'm interested in fitting and applying models for which the data to which I apply the model will have some observations with random effects levels that are not in the fitting dataset.  I would like to flag these observations in some way.

Naively, I would prefer to have something like the na.action = na.augment argument so that predictions for observations with previously unseen levels of random effects would simply be missing.  Is there such a capability that I've missed?

Warm wishes,

Andrew


--
Andrew Robinson
Director, CEBRA and Professor of Biosecurity,
School/s of BioSciences and Mathematics & Statistics
University of Melbourne, VIC 3010 Australia
Tel: (+61) 0403 138 955
Email: apro using unimelb.edu.au
Website: https://researchers.ms.unimelb.edu.au/~apro@unimelb/

I acknowledge the Traditional Owners of the land I inhabit, and pay my respects to their Elders.

	[[alternative HTML version deleted]]