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kedd (version 1.0.0)

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

1.0.0

License

GPL (>= 2)

Maintainer

Arsalane Guidoum

Last Published

August 14th, 2013

Functions in kedd (1.0.0)

h.ccv

Complete Cross-Validation for Bandwidth Selection

h.tcv

Trimmed Cross-Validation for Bandwidth Selection

h.mcv

Modified Cross-Validation for Bandwidth Selection

plot.h.bcv

Plot for Biased Cross-Validation

kernel.conv

Convolutions of r'th Derivative for Kernel Function

plot.h.tcv

Plot for Trimmed Cross-Validation

plot.h.ucv

Plot for Unbiased Cross-Validation

plot.h.mlcv

Plot for Maximum-Likelihood Cross-validation

plot.h.amise

Plot for Asymptotic Mean Integrated Squared Error

plot.h.mcv

Plot for Modified Cross-Validation

plot.dkde

Plot for Kernel Density Derivative Estimate

plot.kernel.conv

Plot for Convolutions of r'th Derivative Kernel Function

plot.kernel.fun

Plot of r'th Derivative Kernel Function

Claw, Bimodal, Kurtotic, Outlier, Trimodal

Datasets

h.amise

AMISE for Optimal Bandwidth Selectors

kedd-package

Kernel Estimator and Bandwidth Selection for Density and its Derivatives

h.ucv

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

h.bcv

Biased Cross-Validation for Bandwidth Selection

kernel.fun

Derivatives of Kernel Function

h.mlcv

Maximum-Likelihood Cross-validation for Bandwidth Selection

plot.h.ccv

Plot for Complete Cross-Validation

dkde

Derivatives of Kernel Density Estimator