AsyK: Kernel Density Estimation and Selection of Optimum Bandwidth

A collection of functions related to density estimation by using Chen's (2000) idea. Mean Squared Errors (MSE) are calculated for estimated curves. For this purpose, R functions allow the distribution to be Gamma, Exponential or Weibull. For details see Chen (2000), Scaillet (2004) <doi:10.1080/10485250310001624819> and Khan and Akbar.

Version: 1.5.4
Imports: KernSmooth, decon, kedd, locfit, ks, kerdiest, sm, ICV, OSCV
Published: 2020-02-13
Author: Javaria Ahmad Khan, Atif Akbar.
Maintainer: Javaria Ahmad Khan <jakhan0 at>
License: GPL-2
NeedsCompilation: no
CRAN checks: AsyK results


Reference manual: AsyK.pdf
Package source: AsyK_1.5.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: AsyK_1.5.4.tgz, r-oldrel: AsyK_1.5.4.tgz
Old sources: AsyK archive


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