⚠️There's a newer version (1.0.4) of this package.Take me there.

kedd (version 1.0.3)

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.

Copy Link

Version

Install

install.packages('kedd')

Monthly Downloads

232

Version

1.0.3

License

GPL (>= 2)

Maintainer

Arsalane Guidoum

Last Published

October 30th, 2015

Functions in kedd (1.0.3)

h.mcv

Modified Cross-Validation for Bandwidth Selection

h.ccv

Complete Cross-Validation for Bandwidth Selection

h.tcv

Trimmed Cross-Validation for Bandwidth Selection

plot.kernel.fun

Plot of r'th Derivative Kernel Function

dkde

Derivatives of Kernel Density Estimator

plot.h.amise

Plot for Asymptotic Mean Integrated Squared Error

plot.h.bcv

Plot for Biased Cross-Validation

plot.dkde

Plot for Kernel Density Derivative Estimate

kernel.fun

Derivatives of Kernel Function

h.mlcv

Maximum-Likelihood Cross-validation for Bandwidth Selection

plot.kernel.conv

Plot for Convolutions of r'th Derivative Kernel Function

h.amise

AMISE for Optimal Bandwidth Selectors

h.ucv

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

plot.h.ucv

Plot for Unbiased Cross-Validation

h.bcv

Biased Cross-Validation for Bandwidth Selection

plot.h.mlcv

Plot for Maximum-Likelihood Cross-validation

Claw, Bimodal, Kurtotic, Outlier, Trimodal

Datasets

kernel.conv

Convolutions of r'th Derivative for Kernel Function

kedd-package

Kernel Estimator and Bandwidth Selection for Density and Its Derivatives

plot.h.ccv

Plot for Complete Cross-Validation

plot.h.tcv

Plot for Trimmed Cross-Validation

plot.h.mcv

Plot for Modified Cross-Validation