livpotential_ews: Description: Potential Analysis

In earlywarnings: Early Warning Signals Toolbox for Detecting Critical Transitions in Timeseries

Description

livpotential_ews performs one-dimensional potential estimation derived from a uni-variate timeseries

Usage

  livpotential_ews(x, std = 1, bw = -1, xi = NULL,
    weights = c(), grid.size = 200)

Arguments

x	data vector
std	the standard deviation of the noise (defaults to 1, so then you use scaled potentials
bw	bandwidth for kernel estimation
xi	x values at which the potential is estimated
weights	optional weights in ksdensity (used by movpotentials).
grid.size	grid size

Details

see ref below

Value

livpotential returns a list with the following elements:

xi	the grid of points on which the potential is estimated
pot	the actual value of the potential
minima	the grid points at which the potential has minimum values
maxima	the grid points at which the potential has maximum values
bw	bandwidth of kernel used

Author(s)

Based on Matlab code from Egbert van Nes modified by Leo Lahti. Implemented in early warnings package by V. Dakos.

References

Livina, VN, F Kwasniok, and TM Lenton, 2010. Potential analysis reveals changing number of climate states during the last 60 kyr . Climate of the Past, 6, 77-82.

Dakos, V., et al (2012)."Methods for Detecting Early Warnings of Critical Transitions in Time Series Illustrated Using Simulated Ecological Data." PLoS ONE 7(7): e41010. doi:10.1371/journal.pone.0041010

See Also

generic_ews; ddjnonparam_ews; bdstest_ews; sensitivity_ews;surrogates_ews; ch_ews;movpotential_ews

earlywarnings documentation built on May 2, 2019, 5:48 p.m.