EWSmethods 1.2.1

v1.2.1

remove bypass_reticulate_autoinit for CRAN policy violation

EWSmethods 1.1.2

First CRAN release.

Features:

1. univariate early warning signals
2. multivariate early warning signals
3. resilience measures
4. univariate machine learning model - EWSNet

EWSmethods v.0.1.0-beta.2

Second Beta release of the R package EWSmethods: Pretty assessment of univariate and multivariate early warning signals.

Minor changes are made to ensure R-CMD-check passes on all virtual operating systems.

EWSmethods v.0.1.0-beta

Beta release of the R package EWSmethods: Pretty assessment of univariate and multivariate early warning signals.

EWSmethods provides rolling and expanding window approaches to assessing abundance based early warning signals. Ggplot based presentation of the outputs are supported for clear and publishable figures. The package additionally provides an R interface to EWSNET, a deep learning modelling framework for predicting critical transitions (Deb et al. 2022).

Full Changelog: https://github.com/duncanobrien/EWSmethods/commits/v.0.1.0-beta