Learn R Programming
⚠️There's a newer version (1.1.29) of this package.Take me there.

earlywarnings (version 1.0.59)

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

Copy Link

Version

Install

install.packages('earlywarnings')

Monthly Downloads

319

Version

1.0.59

License

FreeBSD

Maintainer

Vasilis Dakos

Last Published

April 12th, 2014

Functions in earlywarnings (1.0.59)

bdstest_ews

Description: BDS test Early Warning Signals
UnivariateGrouping

Description: Get group assigment indices for univariate data points, given cluster break points
qda_ews

Description: Quick Detection Analysis for Generic Early Warning Signals
ddjnonparam_ews

Description: Drift Diffusion Jump Nonparametrics Early Warning Signals
generic_ews

Description: Generic Early Warning Signals
YD2PB_grayscale

YD2PB_grayscale data set
foldbif

foldbif data set
PlotPotential

Description: Plot Potential
ch_ews

Description: Conditional Heteroskedasticity
movpotential_ews

Moving Average Potential
livpotential_ews

Description: Potential Analysis for univariate data
sensitivity_ews

Description: Sensitivity Early Warning Signals
find.optima

Description: find.optima
surrogates_ews

Description: Surrogates Early Warning Signals
circulation

circulation data set