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demoKde  

Kernel Density Estimation for Demonstration Purposes
View on CRAN: Click here


Download and install demoKde package within the R console
Install from CRAN:
install.packages("demoKde")

Install from Github:
library("remotes")
install_github("cran/demoKde")

Install by package version:
library("remotes")
install_version("demoKde", "1.0.1")



Attach the package and use:
library("demoKde")
Maintained by
Bill Venables
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-10-20
Latest Update: 2023-08-20
Description:
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. The method used follows directly the definition, but gains efficiency by replacing the observations by frequencies in a very fine grid covering the sample range. A canonical reference is B. W. Silverman, (1998) . NOTE: the density function in the stats package uses a more sophisticated method based on the fast Fourier transform and that function should be used if computational efficiency is a prime consideration.
How to cite:
Bill Venables (2013). demoKde: Kernel Density Estimation for Demonstration Purposes. R package version 1.0.1, https://cran.r-project.org/web/packages/demoKde. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.9-1 (2013-10-20 08:15), 0.9-3 (2013-11-23 06:47), 0.9-4 (2017-02-01 16:12), 1.0.0 (2021-02-26 01:00)
Other packages that cited demoKde R package
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Other R packages that demoKde depends, imports, suggests or enhances
Complete documentation for demoKde
Functions, R codes and Examples using the demoKde R package
Some associated functions: demoKde-package . kde . kernelBiweight . 
Some associated R codes: demoKde.R .  Full demoKde package functions and examples
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