| plot.hcvc.fun {Ake} | R Documentation |
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.