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multifunc: Analysis of Ecological Drivers on Ecosystem Multifunctionality

Methods for the analysis of how ecological drivers affect the multifunctionality of an ecosystem based on methods of Byrnes et al. 2016 <doi:10.1111/2041-210X.12143> and Byrnes et al. 2022 <doi:10.1101/2022.03.17.484802>. Most standard methods in the literature are implemented (see vignettes) in a tidy format.

Version: 0.9.4
Imports: stats, dplyr, purrr, broom, MASS, utils, magrittr
Suggests: ggplot2, forcats, tidyr, gridExtra, knitr, patchwork, car
Published: 2022-05-25
DOI: 10.32614/CRAN.package.multifunc
Author: Jarrett Byrnes [aut, cre, cph]
Maintainer: Jarrett Byrnes <jarrett.byrnes at umb.edu>
BugReports: https://github.com/jebyrnes/multifunc/issues
License: MIT + file LICENSE
URL: https://jebyrnes.github.io/multifunc/, https://github.com/jebyrnes/multifunc
NeedsCompilation: no
Citation: multifunc citation info
Materials: README NEWS
CRAN checks: multifunc results

Documentation:

Reference manual: multifunc.pdf
Vignettes: Assessing Multifunctionality with the multifunc package
Effective number of functions with multifunc

Downloads:

Package source: multifunc_0.9.4.tar.gz
Windows binaries: r-devel: multifunc_0.9.4.zip, r-release: multifunc_0.9.4.zip, r-oldrel: multifunc_0.9.4.zip
macOS binaries: r-release (arm64): multifunc_0.9.4.tgz, r-oldrel (arm64): multifunc_0.9.4.tgz, r-release (x86_64): multifunc_0.9.4.tgz, r-oldrel (x86_64): multifunc_0.9.4.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=multifunc to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.