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Statistical analysis of datasets comprising several levels of hierarchy (e.g., students nested in classes nested in schools or hierarchical forecasting). For questions about mixed models use [mixed-model] tag. For nested random effects, use [nested-data].
7
votes
1
answer
9k
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interpreting output for glmmTMB for zero-inflated count data
I have been trying to read all the documentation I have, but I'm still not sure what the difference is between the "conditional" and zero-inflated models in the output of the glmmTMB. Below is some co …
2
votes
1
answer
73
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finding the within-person SD from a null model lme output
I just wanted to make sure I'm interpreting my lme() output correctly.
I've set up a null model because I was told I could find the within-persons SD this way (Nelzek, 2012 MLM chapter). But the chap …