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AICcPermanova  

Model Selection of PERMANOVA Models Using AICc
View on CRAN: Click here


Download and install AICcPermanova package within the R console
Install from CRAN:
install.packages("AICcPermanova")

Install from Github:
library("remotes")
install_github("cran/AICcPermanova")

Install by package version:
library("remotes")
install_version("AICcPermanova", "0.0.2")



Attach the package and use:
library("AICcPermanova")
Maintained by
Derek Corcoran
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-04-05
Latest Update: 2025-09-03
Description:
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) ().
How to cite:
Derek Corcoran (2023). AICcPermanova: Model Selection of PERMANOVA Models Using AICc. R package version 0.0.2, https://cran.r-project.org/web/packages/AICcPermanova. Accessed 13 Mar. 2026.
Previous versions and publish date:
0.0.1 (2023-04-05 20:26), 0.0.2 (2023-04-11 15:40)
Other packages that cited AICcPermanova R package
View AICcPermanova citation profile
Other R packages that AICcPermanova depends, imports, suggests or enhances
Complete documentation for AICcPermanova
Functions, R codes and Examples using the AICcPermanova R package
Some associated functions: AICc_permanova2 . VIF . akaike_adjusted_rsq . filter_vif . fit_models . make_models . select_models . 
Some associated R codes: AICc_permanova2.R . akaike_adjusted_rsq.R . filter_vif.R . fit_models.R . make_models.R . select_models.R .  Full AICcPermanova package functions and examples
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