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earlywarnings (version 1.0.38)

Early Warning Signals Toolbox for Detecting Critical Transitions in Timeseries

Description

The Early-Warning-Signals Toolbox provides methods for estimating statistical changes in timeseries that can be used for identifying nearby critical transitions. Based on Dakos et al (2012) Methods for Detecting Early Warnings of Critical Transitions in Time Series Illustrated Using Simulated Ecological Data. PLoS ONE 7(7):e41010

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Version

Install

install.packages('earlywarnings')

Monthly Downloads

51

Version

1.0.38

License

FreeBSD

Maintainer

Vasilis Dakos

Last Published

March 15th, 2013

Functions in earlywarnings (1.0.38)

movpotential_ews

Description: Moving Average Potential
surrogates_ews

Description: Surrogates Early Warning Signals
qda_ews

Description: Quick Detection Analysis for Generic Early Warning Signals
ch_ews

Description: Conditional Heteroskedasticity
foldbif

foldbif data set
generic_ews

Description: Generic Early Warning Signals
ddjnonparam_ews

Description: Drift Diffusion Jump Nonparametrics Early Warning Signals
sensitivity_ews

Description: Sensitivity Early Warning Signals
circulation

circulation data set
livpotential_ews

Description: Potential Analysis
YD2PB_grayscale

YD2PB_grayscale data set
bdstest_ews

Description: BDS test Early Warning Signals