Library: | metrics |
See also: | adeind adeslp |
Quantlet: | wtsder | |
Description: | computes the weights for derivative estimation for the use with the quatric kernel in the context of binning |
Usage: | wts = wtsder(d,m,d1) | |
Input: | ||
d | scalar , the dimension of the variable | |
m | d x 1 vector or scalar , discretization parameter | |
d1 | scalar , the coordinate in which the derivative is calculated | |
Output: | ||
wts | k x 1 matrix , |
library("metrics") d = 3 d1= 2 m = 5 wts = wtsder(d,m,d1) wts
the computed weights for derivative estimation that is using the quatric kernel