A wrapper for nonlinearTseries::timeLag
est_emLag(y, selection.methods = "first.minimum", maxLag = length(y)/4, ...)
Time series or numeric vector
Selecting an optimal embedding lag (default: Return "first.e.decay", "first.zero", "first.minimum", "first.value", where value is 1/exp(1))
Maximal lag to consider (default: 1/4 of timeseries length)
Additional parameters
The ami function with requested minima
Other Estimate Recurrence Parameters:
est_emDim()
,
est_parameters()
,
est_parameters_roc()
,
est_radius()
,
est_radius_rqa()