For ecologists interesting in using mixed effects models, or for those wondering relevance, I HIGHLY recommend this "brief introduction" article by @XavHarrison et al.
https://t.co/nEJnxRwS3Z
#OpenAccess
> Clear sections w/ further reading
> Minimal jargon
> Relatable examples https://t.co/pFhblPzvuj
@CornilleAmand @eseb_org @rstudio @RCommunity @molecologist @djnavarro @XavHarrison has (a few now) papers on GLMM for ecological data https://t.co/yC5SZUAmGf
#365papers Harrison et al. 2018. A brief introduction to mixed effects modelling and multi-model inference in ecology. @thePeerJ https://t.co/9K94UKiUrb
@BeckySpake this article mentions shrinkage a couple of times and the refs it gives might lead somewhere? https://t.co/wKuoFGdITw may not help with finding a correction though...
@HABrazeau Ecological Models and Data in R is always a good place to start. https://t.co/6BnvIsXm5L
I also really like this recent paper: https://t.co/tmR9orD026
And The Ecological Detective is a classic. For a Bayesian intro, "Bayesian Models: A Statistical Primer for Ecologists"