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 |
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 |
Reference manual: | EWSmethods.pdf |
Vignettes: |
Performing Early Warning Signal Assessments (source, R code) |
Package source: | EWSmethods_1.3.1.tar.gz |
Windows binaries: | r-devel: EWSmethods_1.3.1.zip, r-release: EWSmethods_1.3.1.zip, r-oldrel: EWSmethods_1.2.5.zip |
macOS binaries: | r-devel (arm64): EWSmethods_1.3.1.tgz, r-release (arm64): EWSmethods_1.3.1.tgz, r-oldrel (arm64): EWSmethods_1.2.5.tgz, r-devel (x86_64): EWSmethods_1.3.1.tgz, r-release (x86_64): EWSmethods_1.3.1.tgz, r-oldrel (x86_64): EWSmethods_1.2.5.tgz |
Old sources: | EWSmethods archive |
Please use the canonical form https://CRAN.R-project.org/package=EWSmethods to link to this page.