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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
1.0.4
1.0.3
1.0.2
1.0.1
1.0.0
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Install
install.packages('kedd')
Monthly Downloads
327
Version
1.0.0
License
GPL (>= 2)
Maintainer
Arsalane Guidoum
Last Published
August 14th, 2013
Functions in kedd (1.0.0)
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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