@vdveenb.bsky.socialThat makes it weirdly akin to model-based ordination, where you choose the distribution and model to accommodate data properties, instead of a dissimilarity. That has incredible benefits, such as flexibility, diagnostics, and more, but I think it's clear where I stand on that.
@vdveenb.bsky.socialSame richness, but different composition.
That's the point of a multi-species model: richness and composition are connected, and should be analysed as such.
Come to my ##NSOGFÖ2026 workshop next week if you want to learn how to do this with #gllvm!
@vdveenb.bsky.socialJust fit a multi-species model already.
A community model directly represents diversity, everything comes from that, with uncertainty propagated properly.
No downstream analyses needed. Full stop.
Rant over.