kern: Kernel Function

In feiyoung/ILSE: Linear Regression Based on 'ILSE' for Missing Data

Kernel Function

Description

Different type of kernel functions.

Usage

  kern(u, type='epk')

Arguments

u	a numeric vector, evluated points in kernel funciton.
type	a optional character string, specify the type of used kernel functionand support 'epk', 'biweight', 'triangle', 'guassian', 'triweight', 'tricube', 'cosine', 'uniform' in current version, defualt as 'epk'.

Details

Note that K(u_i)=K(X_i-x_0) where u = (X_1-x_0, ..., X_n-x_0) and K_h(u_i)=1/h*K((X_i-x_0)/h) where h is bandwidth.

Value

Return a numeric vector with length equal to 'u'.

Author(s)

Liu Wei

See Also

KernSmooth package

Examples

library(graphics)
u <- seq(-1,1,by=0.01)
(Ku <- kern(u))
plot(u, Ku, type='l')
# guassian kernel
plot(u, kern(u, type='gaussian'), type ='l')
# cosine kernel
plot(u, Ku <- kern(u, type='cosine'), type ='l')

feiyoung/ILSE documentation built on Feb. 5, 2024, 10:08 p.m.