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.
Package details |
|
---|---|
Author | Benjamin Burgess [aut, cre] (<https://orcid.org/0000-0003-0439-0061>), David Murrell [aut] |
Maintainer | Benjamin Burgess <benjamin.joshua.burgess@gmail.com> |
License | GPL (>= 3) |
Version | 0.1.1 |
URL | https://benjburgess.github.io/multiplestressR/ |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.