plot.hcvc.fun: Plot of cross-validation function for bandwidth selection in...

In Ake: Associated Kernel Estimations

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

Description

The functions allows to plot the cross-validation both in discrete plot.hcvd.fun and continuous plot.hcvc.fun cases.

Usage

## S3 method for class 'hcvc.fun'
plot(x,  ...)
## S3 method for class 'hcvd.fun'
plot(x,  ...)

Arguments

x	an object
...	Further arguments

Details

Plot a graphic for cross-validation function

Value

returns a graphics

Author(s)

W. E. Wansouwé, S. M. Somé and C. C. Kokonendji

References

Kokonendji, C.C. and Senga Kiessé, T. (2011). Discrete associated kernel method and extensions, Statistical Methodology 8, 497 - 516.

Kokonendji, C.C., Senga Kiessé, T. and Zocchi, S.S. (2007). Discrete triangular distributions and non-parametric estimation for probability mass function. Journal of Nonparametric Statistics 19, 241 - 254.

Zougab, N., Adjabi, S. and Kokonendji, C.C. (2012). Binomial kernel and Bayes local bandwidth in discrete functions estimation. Journal of Nonparametric Statistics 24, 783 - 795.

Ake documentation built on June 13, 2022, 5:07 p.m.