The functions allows to plot the cross-validation both in discrete plot.hcvd.fun and continuous plot.hcvc.fun cases.
# S3 method for hcvc.fun
plot(x, ...)
# S3 method for hcvd.fun
plot(x, ...)returns a graphics
an object
Further arguments
W. E. Wansouwé, S. M. Somé and C. C. Kokonendji
Plot a graphic for cross-validation function
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.