Rolling and expanding window approaches to assessing abundance based early warning signals, non-equilibrium resilience measures, and machine learning. See Dakos et al. (2012) <doi:10.1371/journal.pone.0041010>, Deb et al. (2022) <doi:10.1098/rsos.211475>, Drake and Griffen (2010) <doi:10.1038/nature09389>, Ushio et al. (2018) <doi:10.1038/nature25504> and Weinans et al. (2021) <doi:10.1038/s41598-021-87839-y> for methodological details. Graphical presentation of the outputs are also provided for clear and publishable figures. Visit the 'EWSmethods' website for more information, and tutorials.
| Version: |
1.2.5 |
| Depends: |
R (≥ 3.5) |
| Imports: |
curl, dplyr (≥ 1.0.6), egg, ggplot2, gtools, forecast, foreach, infotheo, mAr, moments, rEDM (≥ 1.15.0), reticulate, scales, tidyr, zoo |
| Suggests: |
devtools, doParallel, knitr, fs, parallel, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2024-01-11 |
| Author: |
Duncan O'Brien 
[aut, cre, cph],
Smita Deb [aut],
Sahil Sidheekh [aut],
Narayanan Krishnan [aut],
Partha Dutta
[aut],
Christopher Clements
[aut] |
| Maintainer: |
Duncan O'Brien <duncan.a.obrien at gmail.com> |
| BugReports: |
https://github.com/duncanobrien/EWSmethods/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/duncanobrien/EWSmethods,
https://duncanobrien.github.io/EWSmethods/ |
| NeedsCompilation: |
no |
| Citation: |
EWSmethods citation info |
| Materials: |
README NEWS |
| CRAN checks: |
EWSmethods results |