XploRe Help : canker

Keywords - Function groups - @ A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

Library:	smoother
See also:	uni tri trian epa qua gau cosi

Quantlet:		canker
Description:		does the canonical bandwidth transformation of a bandwidth value of kernel K1 into an equivalent bandwidth for kernel K2.

Reference(s):

Marron, J.S. and Nolan, D. (1988). Canonical kernels for density estimation. Statistics and Probability Letters, 7, pp. 195-199.

Usage:	`h2 = canker (h1, K1, K2)`
Input:
	`h1`	array, bandwidth for K1.
	`K1`	string, kernel function on [-1,1] or "gau".
	`K2`	string, kernel function on [-1,1] or "gau".
Output:
	`h2`	array, equivalent bandwidth for K2.

Note:

The kernel functions should be univariate kernels with support [-1,1]. Additionally, one can use the Gaussian kernel "gau" as one of the arguments.

Example:

library("smoother") h2 = canker(1,"gau","qua") h2

Result:

Contents of h2
[1,]   2.6226

Author: S. Klinke, B. Turlach, I. Proenca, L. Yang, M. Mueller, 20020915