multiplestressR: Additive and Multiplicative Null Models for Multiple Stressor Data

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 [aut, cre], David Murrell [aut]
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

Documentation:

Reference manual:

multiplestressR.pdf

Downloads:

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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