iaaft_surrogate: Generate an iterated amplitude-adjusted Fourier transform...
In kahaaga/tstools: Useful functions
Description
Usage
Arguments
Value
Description
Generate an iterated amplitude-adjusted Fourier transform surrogate.
Constrained to the values of the original time series.
Usage
1
iaaft_surrogate(series, n.max.iter = 150)
Arguments
series
The series for which to generate a surrogate.
n.max.iter
The maximum number of refinement.
Value
An iaaft representation of the original series, sticking to
the original values of the series (but otherwise shuffled) and
preserving the autocorrelation function of the original series.
kahaaga/tstools documentation built on May 24, 2019, 5:01 a.m.
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Description Usage Arguments Value
Description
Generate an iterated amplitude-adjusted Fourier transform surrogate. Constrained to the values of the original time series.
Usage
1 | iaaft_surrogate(series, n.max.iter = 150)
|
Arguments
series |
The series for which to generate a surrogate. |
n.max.iter |
The maximum number of refinement. |
Value
An iaaft representation of the original series, sticking to the original values of the series (but otherwise shuffled) and preserving the autocorrelation function of the original series.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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