Package: multiplestressR 0.1.1

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.

Authors:Benjamin Burgess [aut, cre], David Murrell [aut]

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multiplestressR.pdf |multiplestressR.html
multiplestressR/json (API)
NEWS

# Install 'multiplestressR' in R:
install.packages('multiplestressR', repos = c('https://benjburgess.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/benjburgess/multiplestressr/issues

Datasets:
  • survival - Survival data for 250 populations exposed to the stressors of temperature and pH.

On CRAN:

Conda:

2.70 score 2 scripts 123 downloads 5 exports 31 dependencies

Last updated 3 years agofrom:ed718ad891. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 16 2025
R-4.5-winOKMar 16 2025
R-4.5-macOKMar 16 2025
R-4.5-linuxOKMar 16 2025
R-4.4-winOKMar 16 2025
R-4.4-macOKMar 16 2025
R-4.4-linuxOKMar 16 2025
R-4.3-winOKMar 16 2025
R-4.3-macOKMar 16 2025

Exports:classify_interactionscritical_effect_size_additiveeffect_size_additiveeffect_size_multiplicativesummary_plots

Dependencies:clicolorspacefansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepatchworkpillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisviridisLitewithr