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