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The Early-Warning-Signals Toolbox provides methods for estimating statistical changes in time series that can be used for identifying nearby critical transitions.
Version: | 1.1.29 |
Depends: | R (≥ 3.0.2), ggplot2, moments, tgp, tseries |
Imports: | fields, nortest, graphics, grDevices, quadprog, Kendall, KernSmooth, methods, lmtest, som, spam, stats, knitr |
Published: | 2022-10-10 |
DOI: | 10.32614/CRAN.package.earlywarnings |
Author: | Vasilis Dakos [aut, cre], Leo Lahti [aut] |
Maintainer: | Vasilis Dakos <vasilis.dakos at gmail.com> |
License: | BSD_2_clause + file LICENSE |
URL: | http://www.early-warning-signals.org, http://www.vasilisdakos.info |
NeedsCompilation: | no |
Citation: | earlywarnings citation info |
Materials: | README |
CRAN checks: | earlywarnings results |
Reference manual: | earlywarnings.pdf |
Vignettes: |
microbiome tutorial |
Package source: | earlywarnings_1.1.29.tar.gz |
Windows binaries: | r-devel: earlywarnings_1.1.29.zip, r-release: earlywarnings_1.1.29.zip, r-oldrel: earlywarnings_1.1.29.zip |
macOS binaries: | r-release (arm64): earlywarnings_1.1.29.tgz, r-oldrel (arm64): earlywarnings_1.1.29.tgz, r-release (x86_64): earlywarnings_1.1.29.tgz, r-oldrel (x86_64): earlywarnings_1.1.29.tgz |
Old sources: | earlywarnings archive |
Reverse suggests: | spaero |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.