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An implementation of the additive (Gurevitch et al., 2000 <doi:10.1086/303337>) and multiplicative (Lajeunesse, 2011 <doi:10.1890/11-0423.1>) factorial null models for multiple stressor data (Burgess et al., 2021 <doi:10.1101/2021.07.21.453207>). Effect sizes are able to be calculated for either null model, and subsequently classified into one of four different interaction classifications (e.g., antagonistic or synergistic interactions). Analyses can be conducted on data for single experiments through to large meta-analytical datasets. Minimal input (or statistical knowledge) is required, with any output easily understood. Summary figures are also able to be easily generated.
Version: | 0.1.1 |
Depends: | R (≥ 2.10) |
Imports: | ggplot2, patchwork, viridis |
Suggests: | testthat (≥ 3.0.0), spelling |
Published: | 2021-10-26 |
DOI: | 10.32614/CRAN.package.multiplestressR |
Author: | Benjamin Burgess |
Maintainer: | Benjamin Burgess <benjamin.joshua.burgess at gmail.com> |
License: | GPL (≥ 3) |
URL: | https://benjburgess.github.io/multiplestressR/ |
NeedsCompilation: | no |
Language: | en-US |
Materials: | README NEWS |
CRAN checks: | multiplestressR results |
Reference manual: | multiplestressR.pdf |
Package source: | multiplestressR_0.1.1.tar.gz |
Windows binaries: | r-devel: multiplestressR_0.1.1.zip, r-release: multiplestressR_0.1.1.zip, r-oldrel: multiplestressR_0.1.1.zip |
macOS binaries: | r-release (arm64): multiplestressR_0.1.1.tgz, r-oldrel (arm64): multiplestressR_0.1.1.tgz, r-release (x86_64): multiplestressR_0.1.1.tgz, r-oldrel (x86_64): multiplestressR_0.1.1.tgz |
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These binaries (installable software) and packages are in development.
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