kedd (version 1.0.0)

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

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.

newcommand

\CRANpkg

href

http://CRAN.R-project.org/package=#1

pkg

#1

See Also

h.mlcv.

Examples

plot(h.mlcv(bimodal))