Summary of the most parsimonious Generalized Linear Mixed Models (GLMMs) finally selected.

<p>AICc: Akaike’s information criterion corrected for finite sample size. Δ: difference between the model selected and the model with the lowest AICc. LRT: Likelihood-ratio test.</p> <p>(DOCX)</p>

Publication Details

Journal
Figshare
Published
2024-12-23
DOI
https://doi.org/10.1371/journal.pntd.0012721.s001
Primary Topic
Statistical Methods and Bayesian Inference
Type
article
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article

Summary of the most parsimonious Generalized Linear Mixed Models (GLMMs) finally selected.

Figshare
Statistical Methods and Bayesian Inference
article

Summary of the most parsimonious Generalized Linear Mixed Models (GLMMs) finally selected.

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Abstract

<p>AICc: Akaike’s information criterion corrected for finite sample size. Δ: difference between the model selected and the model with the lowest AICc. LRT: Likelihood-ratio test.</p> <p>(DOCX)</p>

Figshare
Openalex Percentile: Top 66%
Statistical Methods and Bayesian Inference
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Summary of the most parsimonious Generalized Linear Mixed Models (GLMMs) finally selected. · Figshare (2024) | TGRS Research Map | TGRS