plot.samEL

Plot the regularization path (regularization parameter versus functional
norm).

Computationally efficient tools for high dimensional predictive
modeling (regression and classification). SAM is short for sparse
additive modeling, and adopts the computationally efficient basis
spline technique. We solve  the optimization problems by various
computational algorithms including the block coordinate descent
algorithm, fast iterative soft-thresholding algorithm, and newton method.
The computation is further accelerated by warm-start and active-set tricks.

Tuo Zhao

Sparse Additive Modelling

Haoming Jiang

Yukun Ma

Han Liu

Kathryn Roeder

Xingguo Li

plot.samEL function

<dl><dt>x</dt>
<dd>An object with S3 class <code>"samEL"</code></dd>
<dt>...</dt>
<dd>Additional arguments passed to methods; currently unused.</dd></dl>

Arguments

Plot function for S3 class "samEL" — plot.samEL

<dl>

<dt>x</dt>
<dd>An object with S3 class <code>"samEL"</code></dd>


<dt>...</dt>
<dd>Additional arguments passed to methods; currently unused.</dd>

</dl>

plot.samEL: Plot function for S3 class `"samEL"`

Description

Usage

Arguments

Details

See Also