influ2: Influence plots
In quantifish/influ2: Influence plots
influ2 R Documentation
Influence plots
Description
Standardisation of catch per unit effort using generalised linear models (GLMs) is a common procedure that attempts to remove the
confounding effects of variables other than abundance. The influ2 package can be used to generate plots and metrics to assist
understanding the standardisation effects of explanatory variables included in GLMs.
The influ2 package provides two categories of important functions:
get and plot.
Get functions
The get functions obtain information from brmsfit objects and do some processing of that data before returning it as
a data.frame.
Plot functions
The plot functions include a get function and an appropriate ggplot2 geom to plot the output.
References
Bentley, N., Kendrick, T. H., Starr, P. J., and Breen, P. A. (2011). Influence plots and metrics: tools for better
understanding fisheries catch-per-unit-effort standardizations. ICES Journal of Marine Science.
doi:10.1093/icesjms/fsr174
quantifish/influ2 documentation built on Dec. 14, 2024, 5:10 a.m.
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| influ2 | R Documentation |
Influence plots
Description
Standardisation of catch per unit effort using generalised linear models (GLMs) is a common procedure that attempts to remove the confounding effects of variables other than abundance. The influ2 package can be used to generate plots and metrics to assist understanding the standardisation effects of explanatory variables included in GLMs.
The influ2 package provides two categories of important functions:
get and plot.
Get functions
The get functions obtain information from brmsfit objects and do some processing of that data before returning it as
a data.frame.
Plot functions
The plot functions include a get function and an appropriate ggplot2 geom to plot the output.
References
Bentley, N., Kendrick, T. H., Starr, P. J., and Breen, P. A. (2011). Influence plots and metrics: tools for better
understanding fisheries catch-per-unit-effort standardizations. ICES Journal of Marine Science.
doi:10.1093/icesjms/fsr174
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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