demoKde: Kernel Density Estimation for Demonstration Purposes

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.

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

View on CRAN

Functions

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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

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