completeDFT

0th

Percentile

Complete DFT

Function to calculate the complete DFT.

Usage
completeDFT(x, freq = 2 * pi * (1:length(x))/length(x), ...)
Arguments
x

time series vector.

freq

frequency vector.

Arguments used in the predictiveDFT function.

Details

The default frequencies are 2*pi*(1:n)/n, where n is a length of a time series.

Value

Complex valued complete DFT vector.

References

S. Das, S. Subba Rao, and J. Yang. Spectral methods for small sample time series: A complete periodogram approach. Submitted, 2020.

See Also

predictiveDFT

Aliases
  • completeDFT
Examples
# NOT RUN {
set.seed(123)
x <- arima.sim(model=list(ar=0.7), n=100)
v <- completeDFT(x)
# }
Documentation reproduced from package cspec, version 0.1.2, License: GPL-2

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