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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| Format: | Article |
| Language: | English |
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Foundation for Open Access Statistics
2007-09-01
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| Series: | Journal of Statistical Software |
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| Online Access: | http://www.jstatsoft.org/v21/i07/paper |