Nokome Bentley’s R package influ was developed for use with frequentist models fitted in R using the glm function. The infu2 package is the Bayesian couterpart and has been developed for use with brms. It works with population-level or group-level effects, the Bayesian equivalents of fixed-effects and random-effects. It contains functions for extracting coefficients, calculating the influence of terms, generating CDI plots, step plots, and other diagnostic plots.
Installation
The influ2 package can be installed from within R using:
library(devtools)
install_github(repo = "quantifish/influ2", build_vignettes = TRUE)References
Bentley, N., Kendrick, T. H., Starr, P. J., and Breen, P. A. Influence plots and metrics: tools for better understanding fisheries catch-per-unit-effort standardizations. – ICES Journal of Marine Science, doi:10.1093/icesjms/fsr174.