ks: Kernel Density Estimation and Kernel Discriminant Analysis for Multivariate Data in R

ks: Kernel Density Estimation and Kernel Discriminant Analysis for Multivariate Data in R

Kernel smoothing is one of the most widely used non-parametric data smoothing techniques. We introduce a new R package ks for multivariate kernel smoothing. Currently it contains functionality for kernel density estimation and kernel discriminant analysis. It is a comprehensive package for bandwidth...

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Bibliographic Details
Main Author: Tarn Duong
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2007-09-01
Series:Journal of Statistical Software
Subjects:
bandwidth selection
data-driven
non-parametric smoothing
Online Access:http://www.jstatsoft.org/v21/i07/paper

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