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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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Install
install.packages('kedd')
Monthly Downloads
327
Version
1.0.2
License
GPL (>= 2)
Maintainer
Arsalane Guidoum
Last Published
January 28th, 2015
Functions in kedd (1.0.2)
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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