LagKernelWeight-constructor: Create an instance of the 'LagKernelWeight' class.
In quantspec: Quantile-Based Spectral Analysis of Time Series

Create an instance of the LagKernelWeight class.

lagKernelWeight(
  W = WParzen,
  bw = K/2,
  K = 10,
  descr = paste("bw=", bw, ", K=", K, sep = "")
)

`W`	A kernel function
`bw`	bandwidth
`K`	a `numeric` that determines the largest lag. The weight will be computed for the K integers 0:(K-1); by default the number `K` specified on construction.
`descr`	a description to be used in some plots

Returns an instance of LagKernelWeight.

1 2	wgt1 <- lagKernelWeight(W=WParzen, K=20, bw=10) print(wgt1)

quantspec documentation built on July 15, 2020, 1:07 a.m.

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