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If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
To cite EWSmethods in publications use:
Duncan A. O'Brien, Smita Deb, Sahil Sidheekh, Narayanan Krishnan, Partha S. Dutta, Christopher F. Clements (2023). EWSmethods: an R package to forecast tipping points at the community level using early warning signals, resilience measures, and machine learning models. doi:10.1111/ecog.06674.
Corresponding BibTeX entry:
@Manual{, title = {{EWSmethods}: an R package to forecast tipping points at the community level using early warning signals, resilience measures, and machine learning models}, author = {{Duncan A. O'Brien} and {Smita Deb} and {Sahil Sidheekh} and {Narayanan Krishnan} and {Partha S. Dutta} and {Christopher F. Clements}}, journal = {Ecography}, year = {2023}, doi = {10.1111/ecog.06674}, }
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.