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multiplestressR
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Download and install multiplestressR package within the R console
Install from CRAN:
install.packages("multiplestressR")
Install from Github:
library("remotes")
install_github("cran/multiplestressR")
Install by package version:
library("remotes")
install_version("multiplestressR", "0.1.1")
Attach the package and use:
library("multiplestressR")
Maintained by
Benjamin Burgess
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-10-26
Latest Update: 2021-10-26
Description:
An implementation of the additive (Gurevitch et al., 2000 )
and multiplicative (Lajeunesse, 2011 ) factorial null models for
multiple stressor data (Burgess et al., 2021 ). 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.
How to cite:
Benjamin Burgess (2021). multiplestressR: Additive and Multiplicative Null Models for Multiple Stressor Data. R package version 0.1.1, https://cran.r-project.org/web/packages/multiplestressR
Previous versions and publish date:
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Functions, R codes and Examples using
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Some associated functions: classify_interactions . critical_effect_size_additive . effect_size_additive . effect_size_multiplicative . summary_plots . survival .
Some associated R codes: classify_interactions.R . critical_effect_size_additive.R . data.R . effect_size_additive.R . effect_size_multiplicative.R . summary_plots.R . utils.R . Full multiplestressR package functions and examples
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