lcvplot

The <code>lcvplot</code> function loops through calls to the <code>lcv</code>
function (and hence to <code>link{locfit}</code>), 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.

htest

Local regression, likelihood and density estimation methods as described in the 1999 book by Loader.

Andy Liaw

locfit

Local Regression, Likelihood and Density Estimation

Catherine Loader

Jiayang Sun

Lucent Technologies 

lcvplot function

<dl> <dt>...</dt>
<dd>arguments to the <code>lcv</code>, <code>locfit</code>
 functions.</dd> <dt>alpha</dt>
<dd>Matrix of smoothing parameters. The <code>aicplot</code> function
 loops through calls to <code>lcv</code>, using each row of
 <code>alpha</code> as the smoothing parameter in turn. If <code>alpha</code>
 is provided as a vector, it will be converted to a one-column
 matrix, thus interpreting each component as a nearest neighbor
 smoothing parameter.</dd></dl>

Arguments

Compute the likelihood cross-validation plot. — lcvplot

<dl>

 <dt>...</dt>
<dd>arguments to the <code>lcv</code>, <code>locfit</code>
 functions.</dd>

 <dt>alpha</dt>
<dd>Matrix of smoothing parameters. The <code>aicplot</code> function
 loops through calls to <code>lcv</code>, using each row of
 <code>alpha</code> as the smoothing parameter in turn. If <code>alpha</code>
 is provided as a vector, it will be converted to a one-column
 matrix, thus interpreting each component as a nearest neighbor
 smoothing parameter.</dd>

</dl>

lcvplot: Compute the likelihood cross-validation plot.

Description

Usage

Value

Arguments

See Also

Examples