UoA-eResearch/fisheR: Fisher's Information for timeseries data

This package calculates Fisher's Information for timeseries data in R and has been developed following methods and code from: Cabezas, H., Campbell, D., Eason, T., Garmestani, A. S., Heberling, M. T., Hopton, M. E., Templeton, J., White, D., Zanowick, M., & Sparks, R. T. (2010). San Luis Basin sustainability metrics project: A methodology for evaluating regional sustainability. USEPA. USA. Eason, T., & Cabezas, H. (2012). Evaluating the sustainability of a regional system using Fisher information in the San Luis Basin, Colorado. Journal of Environmental Management, 94(1), 41–49. https://doi.org/10.1016/j.jenvman.2011.08.003 Ahmad, N., Derrible, S., Eason, T., & Cabezas, H. (2016). Using Fisher information to track stability in multivariate systems. Royal Society Open Science, 3(11), 160582. https://doi.org/10.1098/rsos.160582 We have adapted Python and Matlab code modelling purposes in R.

Getting started

Package details

AuthorNick Young, Quinn Asena
MaintainerQuinn Asena <qase352@aucklanduni.ac.nz>
LicenseWhat license is it under?
Version0.1.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("UoA-eResearch/fisheR")
UoA-eResearch/fisheR documentation built on July 8, 2023, 5:06 p.m.