R: Associated Kernel Estimations

# Associated Kernel Estimations

## Documentation for package ‘Ake’ version 1.0.2

- DESCRIPTION file

## Help Pages

Ake-package | Associated kernel estimations
Ake | Associated kernel estimations
dke.fun | Function for density estimation
dke.fun.default | Function for density estimation
hbay.fun | Local Bayesian procedure for bandwidth selection
hbay.fun.default | Local Bayesian procedure for bandwidth selection
hcvc.fun | Cross-validation function for bandwidth selection for continuous data
hcvc.fun.default | Cross-validation function for bandwidth selection for continuous data
hcvd.fun | Cross-validation function for bandwidth selection in p.m.f. estimation
hcvd.fun.default | Cross-validation function for bandwidth selection in p.m.f. estimation
hcvreg.fun | Cross-validation function for bandwidth selection in regresssion
hcvreg.fun.default | Cross-validation function for bandwidth selection in regresssion
kef | Continuous and discrete associated kernel function
kern.fun | The associated kernel function
kern.fun.default | The associated kernel function
kpmfe.fun | Function for associated kernel estimation of p.m.f.
kpmfe.fun.default | Function for associated kernel estimation of p.m.f.
milk | Average daily fat yields.
plot.dke.fun | Plot of density function
plot.hcvc.fun | Plot of cross-validation function for bandwidth selection in density or p.m.f. estimation.
plot.hcvd.fun | Plot of cross-validation function for bandwidth selection in density or p.m.f. estimation.
plot.kern.fun | Plot of associated kernel function
plot.kpmfe.fun | Plot of the function for associated kernel estimation of the p.m.f.
plot.reg.fun | Plot for associated kernel regression
print.reg.fun | Print for regression function
reg.fun | Function for associated kernel estimation of regression
reg.fun.default | Function for associated kernel estimation of regression