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Ake (version 1.0.2)

Associated Kernel Estimations

Description

Continuous and discrete (count or categorical) estimation of density, probability mass function (p.m.f.) and regression functions are performed using associated kernels. The cross-validation technique and the local Bayesian procedure are also implemented for bandwidth selection.

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Version

Install

install.packages('Ake')

Monthly Downloads

311

Version

1.0.2

License

GPL (>= 2)

Maintainer

W. Wansouwé

Last Published

July 2nd, 2025

Functions in Ake (1.0.2)

hcvreg.fun

Cross-validation function for bandwidth selection in regresssion
plot.kern.fun

Plot of associated kernel function
reg.fun

Function for associated kernel estimation of regression
kern.fun

The associated kernel function
plot.kpmfe.fun

Plot of the function for associated kernel estimation of the p.m.f.
milk

Average daily fat yields.
plot.hcvc.fun

Plot of cross-validation function for bandwidth selection in density or p.m.f. estimation.
print.reg.fun

Print for regression function
plot.reg.fun

Plot for associated kernel regression
hbay.fun

Local Bayesian procedure for bandwidth selection
kpmfe.fun

Function for associated kernel estimation of p.m.f.
plot.dke.fun

Plot of density function
Ake-package

Associated kernel estimations
hcvd.fun

Cross-validation function for bandwidth selection in p.m.f. estimation
hcvc.fun

Cross-validation function for bandwidth selection for continuous data
kef

Continuous and discrete associated kernel function
dke.fun

Function for density estimation