Displaying 1 result from an estimated 1 matches for "returneigenvalues".
2024 Jul 10
1
Implementation for selecting lag of a lag window spectral estimator using generalized cross validation (using deviance)
...method="pgram"),log="dB")
# 2. Using the default in built cosine taper
plot(spectrum(lh,taper = .3, method="pgram"),log="dB")
# 2. Again, using slepian taper
library(multitaper)
# I choose: n = length(lh), k =1, nw=2
mytaper = dpss(n=length(lh), k=1 , nw=2, returnEigenvalues=TRUE)
# Tapered series
lh * mytaper$v
# I may compute the spectrum with reduced bias as:
plot(spectrum(lh*mytaper$v,method="pgram"),log="dB")
# We now focus on the variance
# For a fixed m = 10, using a Parzen window.
library(gsignal)
parzenwin(10)
# The following 2 lines of c...