Having Fun with Random Effects in Mixed Models (GLMMs)

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Күн бұрын

Пікірлер: 14

@charlottemcwilliams2909 6 ай бұрын

Can you do a video explaining what family of curve to choose? Here you have picked gaussian each time. I am struggling with this step in my own glmm's. Thanks for all your help so far, this was an interesting example!

@lucascastanheira9123 27 күн бұрын

Thanks a lot! This video was very helpful!!!

@tylahmills6433 5 ай бұрын

super helpfuil! Would love a video showing how to compare models (and esp mixed effect models) for best fit!

@diegogonzales5983 5 ай бұрын

Hi, thanks for the explanation of the GLMM analysis. I have a question: Do you applied DHARMA::simulateResiduals after created the last model? Thanks :D

@KnorpelDelux 7 ай бұрын

Very specific but should you have expertise in setting up MaxEnt with SWD files to run several projections out of the same model...videos would be highly appreciated 🙃

@Taricus 7 ай бұрын

No no no... I say to have at least 30 in each group.... If the data is sparse, it can cause problems...

@chloefouilloux 7 ай бұрын

I mean that is definitely better! But man oh man, try recapturing bank voles in the middle of an enormous forest over a summer. They are tiny little jerks!!!

@philippjeske163 7 ай бұрын

Very informative video with a refreshing amount of humour (which is rare to find in the world of statistics). Never had so much fun watchin this kind of videos, congrats haha! I would love to see more videos on GLMMs cause its cool but also complicated af

@xavharrison9099 7 ай бұрын

I recognise that mixed effect model schematic on the thumbnail from Silk, Harrison & Hodgson 2020 PeerJ

@chloefouilloux 7 ай бұрын

Yes! Beautifully written by some great researchers ;) I linked the paper in my GitHub, but added it now to the video description as well!

@danilocarvalho6444 4 ай бұрын

Absolutely amazing! thanks so much! Another request, what to do with data that has **a lot** of zeros? Please keep posting videos like this; you are indeed amazing at explaining what is going on and what we should be looking for! Thanks!