Create an instance of the KernelWeight
class.
KernelWeight
class.kernelWeight( W = W0, N = 1, bw = 0.1 * N^(-1/5), descr = paste("bw=", round(bw, 3), ", N=", N, sep = "") )
W
: A kernel functionN
: Fourier basis; number of grid points in for which the weights will be computed.bw
: bandwidth; if a vector, then a list of weights is returneddescr
: a description to be used in some plotsReturns an instance of KernelWeight
.
wgt1 <- kernelWeight(W=W0, N=16, bw=c(0.1,0.3,0.7)) print(wgt1) wgt2 <- kernelWeight(W=W1, N=2^8, bw=0.1) plot(wgt2, main="Weights determined from Epanechnikov kernel")
kernels