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CATS regression – a model‐based approach to studying trait‐based community assembly

https://doi.org/10.1111/2041-210x.12280

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Generalized Linear Models

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Peer Review #1 of "Devil in the details: how can we avoid potential pitfalls of CATS regression when our data do not follow a Poisson distribution? (v0.1)"

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Peer Review #2 of "Devil in the details: how can we avoid potential pitfalls of CATS regression when our data do not follow a Poisson distribution? (v0.1)"

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Devil in the details: how can we avoid potential pitfalls of CATS regression when our data do not follow a Poisson distribution?

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A critical issue in model-based inference for studying trait-based community assembly and a solution

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.