Package: AICcPermanova 0.0.3

Derek Corcoran

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) (<doi:10.1007/b97636>).

Authors:Derek Corcoran [aut, cre]

AICcPermanova_0.0.3.tar.gz
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AICcPermanova.pdf |AICcPermanova.html
AICcPermanova/json (API)

# Install 'AICcPermanova' in R:
install.packages('AICcPermanova', repos = c('https://sustainscapes.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/sustainscapes/aiccperm/issues

On CRAN:

3.70 score 9 scripts 379 downloads 7 exports 74 dependencies

Last updated 10 months agofrom:aae87bb44b. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 12 2024
R-4.5-winNOTEOct 12 2024
R-4.5-linuxNOTEOct 12 2024
R-4.4-winOKOct 12 2024
R-4.4-macOKOct 12 2024
R-4.3-winOKOct 12 2024
R-4.3-macOKOct 12 2024

Exports:AICc_permanova2akaike_adjusted_rsqfilter_viffit_modelsmake_modelsselect_modelsVIF

Dependencies:abindbackportsbootbroomcarcarDatacliclustercodetoolscolorspacecowplotcpp11data.tableDerivdigestdoBydoParalleldplyrfansifarverforeachFormulafurrrfuturegenericsggplot2globalsgluegtableisobanditeratorslabelinglatticelifecyclelistenvlme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivparallellypbkrtestpermutepillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsveganviridisLitewithr

Getting started with the AICcPermanova package

Rendered fromgetting-started-with-aiccpermanova.Rmdusingknitr::rmarkdownon Oct 12 2024.

Last update: 2023-07-04
Started: 2023-04-10