AICcPermanova
Model Selection of PERMANOVA Models Using AICc
Provides tools for model selection and model averaging of PerMANOVA models using Akaike Information Criterion corrected for small sample sizes (AICc) and Information Theoretic criteria principles. The package is built around the PERMANOVA analysis from the 'vegan' package and provides a streamlined workflow for generating and comparing models, obtaining model weights, and summarizing results using model averaging approaches. The methods implemented in this package are based on the practical information- theoretic approach described by Burnham, K. P. and Anderson, D. R. (2002) (
- GitHub
- https://sustainscapes.github.io/AICcPerm/
- File a bug report
- AICcPermanova results
- AICcPermanova.pdf
- Version0.0.2
- R versionunknown
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?No
- Last release04/11/2023
Team
Derek Corcoran
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- Imports13 packages
- Suggests2 packages