Package: AICcPermanova 0.0.3
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:
AICcPermanova_0.0.3.tar.gz
AICcPermanova_0.0.3.zip(r-4.5)AICcPermanova_0.0.3.zip(r-4.4)AICcPermanova_0.0.3.zip(r-4.3)
AICcPermanova_0.0.3.tgz(r-4.4-any)AICcPermanova_0.0.3.tgz(r-4.3-any)
AICcPermanova_0.0.3.tar.gz(r-4.5-noble)AICcPermanova_0.0.3.tar.gz(r-4.4-noble)
AICcPermanova_0.0.3.tgz(r-4.4-emscripten)AICcPermanova_0.0.3.tgz(r-4.3-emscripten)
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')) |
Bug tracker:https://github.com/sustainscapes/aiccperm/issues
Last updated 10 months agofrom:aae87bb44b. Checks:OK: 5 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 11 2024 |
R-4.5-win | NOTE | Nov 11 2024 |
R-4.5-linux | NOTE | Nov 11 2024 |
R-4.4-win | OK | Nov 11 2024 |
R-4.4-mac | OK | Nov 11 2024 |
R-4.3-win | OK | Nov 11 2024 |
R-4.3-mac | OK | Nov 11 2024 |
Exports:AICc_permanova2akaike_adjusted_rsqfilter_viffit_modelsmake_modelsselect_modelsVIF
Dependencies:abindbackportsbootbroomcarcarDatacliclustercodetoolscolorspacecowplotcpp11data.tableDerivdigestdoBydoParalleldplyrfansifarverforeachFormulafurrrfuturegenericsggplot2globalsgluegtableisobanditeratorslabelinglatticelifecyclelistenvlme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivparallellypbkrtestpermutepillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsveganviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Calculate AICc for a permutational multivariate analysis of variance (PERMANOVA) | AICc_permanova2 |
Akaike-Adjusted R Squared Calculation with Model Averaging | akaike_adjusted_rsq |
Filters out equations with high multicollinearity | filter_vif |
Fit PERMANOVA models and arrange by AICc | fit_models |
Create models with different combinations of variables | make_models |
Select models based on AICc and VIF. | select_models |
Get Maximum Variance Inflation Factor (VIF) from a Model | VIF |