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: | 1.3.1 |
| Depends: | R (≥ 4.4) |
| Imports: | curl,egg,ggplot2,gtools,forecast,foreach,infotheo,mAr,moments,rEDM (≥ 1.15.0),reticulate,scales,zoo |
| Suggests: | devtools,doParallel,knitr,fs, parallel,rmarkdown,testthat (≥ 3.0.0) |
| Published: | 2024-05-15 |
| DOI: | 10.32614/CRAN.package.EWSmethods |
| 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 + fileLICENSE |
| URL: | https://github.com/duncanobrien/EWSmethods,https://duncanobrien.github.io/EWSmethods/ |
| NeedsCompilation: | no |
| Citation: | EWSmethods citation info |
| Materials: | README,NEWS |
| CRAN checks: | EWSmethods results |