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DELTD (version 2.6.5)

Kernel Density Estimation using Lifetime Distributions

Description

A collection of asymmetrical kernels belong to lifetime distributions for kernel density estimation is presented. 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), Jin and Kawczak (2003) and Salha et al. (2014) .

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Version

Install

install.packages('DELTD')

Monthly Downloads

267

Version

2.6.5

License

GPL-2

Maintainer

Javaria Khan

Last Published

December 13th, 2019

Functions in DELTD (2.6.5)

dencomb

Plot the Densities for Comparison
mseEr

Calculate Mean Squared Error( MSE) when Erlang kernel is used
plot.LN

Density Plot by Lognormal kernel
plot.Gamma

Density Plot by Gamma kernel
DELTD-package

DELTD
BS

Estimated Density Values by Birnbaum-Saunders kernel
mseLN

Calculate Mean Squared Error( MSE) when Lognormal Kernel is used
Erlang

Estimated Density Values by Erlang kernel
Gamma

Estimated Density Values by Gamma kernel
LN

Estimated Density Values by Lognormal kernel
mseGamma

Calculate Mean Squared Error( MSE) when Gamma kernel is used
mseBS

Calculate Mean Squared Error( MSE) when Birnbaum-Saunders kernel is used
plot.BS

Density Plot by Birnbaum-Saunders kernel
plot.Erlang

Density Plot by Erlang kernel