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kedd (version 1.0.2)

Kernel Estimator and Bandwidth Selection for Density and its Derivatives

Description

Smoothing techniques and computing bandwidth selectors of the nth derivative of a probability density for one-dimensional data.

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Version

Install

install.packages('kedd')

Monthly Downloads

232

Version

1.0.2

License

GPL (>= 2)

Maintainer

Arsalane Guidoum

Last Published

January 28th, 2015

Functions in kedd (1.0.2)

h.tcv

Trimmed Cross-Validation for Bandwidth Selection

h.ccv

Complete Cross-Validation for Bandwidth Selection

h.mcv

Modified Cross-Validation for Bandwidth Selection

plot.h.tcv

Plot for Trimmed Cross-Validation

h.amise

AMISE for Optimal Bandwidth Selectors

plot.h.amise

Plot for Asymptotic Mean Integrated Squared Error

h.mlcv

Maximum-Likelihood Cross-validation for Bandwidth Selection

plot.kernel.fun

Plot of r'th Derivative Kernel Function

h.bcv

Biased Cross-Validation for Bandwidth Selection

kernel.conv

Convolutions of r'th Derivative for Kernel Function

Claw, Bimodal, Kurtotic, Outlier, Trimodal

Datasets

plot.h.mcv

Plot for Modified Cross-Validation

h.ucv

Unbiased (Least-Squares) Cross-Validation for Bandwidth Selection

plot.dkde

Plot for Kernel Density Derivative Estimate

plot.h.ccv

Plot for Complete Cross-Validation

kedd-package

Kernel Estimator and Bandwidth Selection for Density and its Derivatives

plot.kernel.conv

Plot for Convolutions of r'th Derivative Kernel Function

kernel.fun

Derivatives of Kernel Function

plot.h.mlcv

Plot for Maximum-Likelihood Cross-validation

plot.h.ucv

Plot for Unbiased Cross-Validation

plot.h.bcv

Plot for Biased Cross-Validation

dkde

Derivatives of Kernel Density Estimator