demoKde: Kernel Density Estimation for Demonstration Purposes
Version 0.9-4

Demonstration code showing how (univariate) kernel density estimates are computed, at least conceptually, and allowing users to experiment with different kernels, should they so wish. NOTE: the density function in the stats package should be used for computational efficiency.

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AuthorBill Venables
Date of publication2017-02-01 16:12:08
MaintainerBill Venables <Bill.Venables@gmail.com>
LicenseGPL-2
Version0.9-4
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("demoKde")

Man pages

demoKde-package: Kernel density estimation demonstration and exploration
kde: Univariate kernel density estimation directly in R code.
kernelBiweight: Kernel functions for use with kde

Functions

demoKde Man page
demoKde-package Man page
kde Man page Source code
kernelBiweight Man page Source code
kernelCosine Man page Source code
kernelEpanechnikov Man page Source code
kernelGaussian Man page Source code
kernelLogistic Man page Source code
kernelOptCosine Man page Source code
kernelRectangular Man page Source code
kernelSquaredCosine Man page Source code
kernelTriangular Man page Source code
kernelTricube Man page Source code
kernelTriweight Man page Source code
kernelUniform Man page Source code

Files

NAMESPACE
R
R/demoKde.R
MD5
DESCRIPTION
man
man/kernelBiweight.Rd
man/demoKde-package.Rd
man/kde.Rd
demoKde documentation built on May 29, 2017, 12:36 p.m.