est_emLag: Estimate embedding lag (tau)

In FredHasselman/casnet: A Toolbox for Studying Complex Adaptive Systems and Networks

Estimate embedding lag (tau)

Description

A wrapper for nonlinearTseries::timeLag

Usage

est_emLag(y, selection.methods = "first.minimum", maxLag = length(y)/4, ...)

Arguments

y	Time series or numeric vector
selection.methods	Selecting an optimal embedding lag (default: Return "first.e.decay", "first.zero", "first.minimum", "first.value", where value is 1/exp(1))
maxLag	Maximal lag to consider (default: 1/4 of timeseries length)
...	Additional parameters

Value

The ami function with requested minima

See Also

Other Estimate Recurrence Parameters: est_emDim(), est_parameters(), est_parameters_roc(), est_radius(), est_radius_rqa()

FredHasselman/casnet documentation built on Jan. 6, 2025, 3:18 a.m.