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AsyK (version 1.5.4)

Kernel Density Estimation and Selection of Optimum Bandwidth

Description

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) and Khan and Akbar.

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Version

Install

install.packages('AsyK')

Monthly Downloads

548

Version

1.5.4

License

GPL-2

Maintainer

Javaria Khan

Last Published

February 13th, 2020

Functions in AsyK (1.5.4)

RIG

Estimated Density Values by Resiprocal Inverse Gaussian kernel
righcomp

Calculate MSE with and ranking of Bandwidth with respect to MSE for RIG kernel.
AsyK-package

AsyK
Laplace

Estimated Density Values by Laplace kernel
plot.Laplace

Density Plot by Laplace kernel
plot.RIG

Density Plot by Resiprocal Inverse Gaussian kernel
NSR

Bandwidth Calculation.
compLR

Plot Density by RIG and Laplace kernel.
laphcomp

Calculate MSE with and ranking of Bandwidth with respect to MSE for Laplace Kernel.
mseLap

Calculate Mean Squared Error( MSE) when Laplace Kernel is used.
mseRIG

Calculate Mean Squared Error( MSE) when RIG kernel is used.