Forecasting Tipping Points at the Community Level

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Documentation for package ‘EWSmethods’ version 1.2.5

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

CODrecovery	Three Recovering Cod Populations
conda_clean	Python Removal
default_weights_path	Path to Model Weights
deseason_ts	Deseason Seasonal Time Series
detrend_ts	Detrend Time Series
ewsnet_finetune	EWSNet Finetune
ewsnet_init	EWSNet Initialisation
ewsnet_predict	EWSNet Predict
ewsnet_reset	Reset EWSNet Model Weights
FI	Calculate Fisher Information
multiAR	Multivariate Jacobian Index Estimated From Multivariate Autocorrelation Matrix
multiEWS	Multivariate Early Warning Signal Assessment
multiJI	S-map Jacobian index function
multi_smap_jacobian	S-map Inferred Jacobian
mvi	Multivariate Variance Index function
perm_rollEWS	Significance Testing of Rolling Window Early Warning Signals
plot.EWSmethods	Plot an EWSmethods object
simTransComms	Three Simulated Transitioning Communities.
uniEWS	Univariate Early Warning Signal Assessment
uniJI	Univariate S-map Jacobian index function
uni_smap_jacobian	S-map Inferred Jacobian