R: Kernel Regression Smoothing with Local or Global Plug-in Bandwidth

# Kernel Regression Smoothing with Local or Global Plug-in Bandwidth

## Documentation for package ‘lokern’ version 1.1-12

- DESCRIPTION file
- Code demos. Use demo() to run them.

## Help Pages

fitted.KernS | Methods for ("KernS" classed) Results of lokerns() and glkerns()
glkerns | Kernel Regression Smoothing with Adaptive Plug-in Bandwidth
glkerns.default | Kernel Regression Smoothing with Adaptive Plug-in Bandwidth
glkerns.formula | Kernel Regression Smoothing with Adaptive Plug-in Bandwidth
lines.KernS | Methods for ("KernS" classed) Results of lokerns() and glkerns()
lokerns | Kernel Regression Smoothing with Local Plug-in Bandwidth
lokerns.default | Kernel Regression Smoothing with Local Plug-in Bandwidth
lokerns.formula | Kernel Regression Smoothing with Local Plug-in Bandwidth
plot.KernS | Methods for ("KernS" classed) Results of lokerns() and glkerns()
predict.KernS | Methods for ("KernS" classed) Results of lokerns() and glkerns()
print.KernS | Methods for ("KernS" classed) Results of lokerns() and glkerns()
residuals.KernS | Methods for ("KernS" classed) Results of lokerns() and glkerns()
varest | Nonparametric Variance Estimator
varNPreg | Nonparametric Variance Estimator
xSim | Simulated Linear plus Exponential Peak