plot.h.mlcv {kedd}

Plot for Maximum-Likelihood Cross-validation

Description

The plot.h.mlcv function loops through calls to the h.mlcv function. Plot for maximum-likelihood cross-validation function for 1-dimensional data.

Usage

## S3 method for class 'h.mlcv'
plot(x, seq.bws=NULL, ...)
## S3 method for class 'h.mlcv'
lines(x,seq.bws=NULL, ...)

Arguments

x

object of class h.mlcv (output from h.mlcv).

seq.bws

the sequence of bandwidths in which to compute the maximum- likelihood cross-validation function. By default, the procedure defines a sequence of 50 points, from 0.15*hos to 2*hos (Over-smoothing).

...

other graphics parameters, see par in package "graphics".

Value

Plot of 1-d maximum-likelihood cross-validation function are sent to graphics window.

kernel

name of kernel to use.

seq.bws

the sequence of bandwidths.

mlcv

the values of the maximum-likelihood cross-validation function in the bandwidths grid.

Author(s)

Arsalane Chouaib Guidoum [e-mail]

See Also

h.mlcv.

Examples

plot(h.mlcv(bimodal))