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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Online Access: | http://www.jstatsoft.org/v21/i07/paper |
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doaj-6a97d9cdfe7a4ff8bcc7a471c80a89be2020-11-24T22:56:09ZengFoundation for Open Access StatisticsJournal of Statistical Software1548-76602007-09-01217ks: Kernel Density Estimation and Kernel Discriminant Analysis for Multivariate Data in RTarn DuongKernel 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 matrix selection, implementing a wide range of data-driven diagonal and unconstrained bandwidth selectors.http://www.jstatsoft.org/v21/i07/paperbandwidth selectiondata-drivennon-parametric smoothing |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Tarn Duong |
spellingShingle |
Tarn Duong ks: Kernel Density Estimation and Kernel Discriminant Analysis for Multivariate Data in R Journal of Statistical Software bandwidth selection data-driven non-parametric smoothing |
author_facet |
Tarn Duong |
author_sort |
Tarn Duong |
title |
ks: Kernel Density Estimation and Kernel Discriminant Analysis for Multivariate Data in R |
title_short |
ks: Kernel Density Estimation and Kernel Discriminant Analysis for Multivariate Data in R |
title_full |
ks: Kernel Density Estimation and Kernel Discriminant Analysis for Multivariate Data in R |
title_fullStr |
ks: Kernel Density Estimation and Kernel Discriminant Analysis for Multivariate Data in R |
title_full_unstemmed |
ks: Kernel Density Estimation and Kernel Discriminant Analysis for Multivariate Data in R |
title_sort |
ks: kernel density estimation and kernel discriminant analysis for multivariate data in r |
publisher |
Foundation for Open Access Statistics |
series |
Journal of Statistical Software |
issn |
1548-7660 |
publishDate |
2007-09-01 |
description |
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 matrix selection, implementing a wide range of data-driven diagonal and unconstrained bandwidth selectors. |
topic |
bandwidth selection data-driven non-parametric smoothing |
url |
http://www.jstatsoft.org/v21/i07/paper |
work_keys_str_mv |
AT tarnduong kskerneldensityestimationandkerneldiscriminantanalysisformultivariatedatainr |
_version_ |
1725654560005947392 |