| lcvplot {locfit} | R Documentation |
The lcvplot function loops through calls to the lcv
function (and hence to link{locfit}), using a different
smoothing parameter for each call.
The returned structure contains the likelihood cross validation statistic
for each fit, and can be used to produce an LCV plot.
lcvplot(..., alpha)
... |
arguments to the lcv, locfit
functions. |
alpha |
Matrix of smoothing parameters. The aicplot function
loops through calls to lcv, using each row of
alpha as the smoothing parameter in turn. If alpha
is provided as a vector, it will be converted to a one-column
matrix, thus interpreting each component as a nearest neighbor
smoothing parameter. |
An object with class "gcvplot", containing the smoothing
parameters and LCV scores. The actual plot is produced using
plot.gcvplot.
locfit,
locfit.raw,
gcv,
lcv,
plot.gcvplot
data(ethanol) plot(lcvplot(NOx~E,data=ethanol,alpha=seq(0.2,1.0,by=0.05)))