Kernel Regression Smoothing with Local or Global Plug-in Bandwidth

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Documentation for package ‘lokern’ version 1.1-11

• 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