kernelCte | R Documentation |
These are values depending on the kernel and the local polynomial degrees that are used in bandwidth selection, as proposed in Fan and Gijbels(1996).
cteNuK(nu,p,kernel,lower=dom(kernel)[[1]],upper=dom(kernel)[[2]], subdivisions= 25) adjNuK(nu,p,kernel,lower=dom(kernel)[[1]],upper=dom(kernel)[[2]], subdivisions= 25)
nu |
Order of derivative to estimate. |
p |
Degree of Local polynomial estimator. |
kernel |
Kernel used to perform the estimation, see |
lower, upper |
Integration limits. |
subdivisions |
the maximum number of subintervals. |
cteNuK
is computed using Compute kernel values and link{equivKernel}
jointly with the numerical integration utility
integrate
. adjNuK
is implemented using quotients
of previous functions. See Fan and Gijbels(1996) pages 67 and 119.
Both functions returns numeric values.
Jorge Luis Ojeda Cabrera.
Fan, J. and Gijbels, I. Local polynomial modelling and its applications\/. Chapman & Hall, London (1996).
Wand, M.~P. and Jones, M.~C. Kernel smoothing\/. Chapman and Hall Ltd., London (1995).
regCVBwSelC
, pluginBw
, integrate
.
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