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/json (API)
NEWS

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

Peer review:

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:

2.70 score 2 scripts 129 downloads 5 exports 31 dependencies

Last updated 3 years agofrom:ed718ad891. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 16 2024
R-4.5-winOKNov 16 2024
R-4.5-linuxOKNov 16 2024
R-4.4-winOKNov 16 2024
R-4.4-macOKNov 16 2024
R-4.3-winOKNov 16 2024
R-4.3-macOKNov 16 2024

Exports:classify_interactionscritical_effect_size_additiveeffect_size_additiveeffect_size_multiplicativesummary_plots

Dependencies:clicolorspacefansifarverggplot2gluegridExtragtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepatchworkpillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisviridisLitewithr