plot.cv.gamsel

Produces a cross-validation curve with standard errors for a fitted gamsel
objecty.

regression

smooth

nonparametric

Using overlap grouped-lasso penalties, 'gamsel' selects whether a term in a 'gam' is nonzero, linear, or a non-linear spline (up to a specified max df per variable). It fits the entire regularization path on a grid of values for the overall penalty lambda, both for gaussian and binomial families. See <doi:10.48550/arXiv.1506.03850> for more details.

Trevor Hastie

gamsel

Fit Regularization Path for Generalized Additive Models

Alexandra Chouldechova

Balasubramanian Narasimhan

Vitalie Spinu

Matt Wand

plot.cv.gamsel function

<dl><dt>x</dt>
<dd><code>cv.gamsel</code> object</dd>
<dt>sign.lambda</dt>
<dd>Either plot against <code>log(lambda)</code> (default) against
<code>-lambda</code> if <code>sign.lambda=-1</code>.</dd>
<dt>...</dt>
<dd>Optional graphical parameters to plot.</dd></dl>

Arguments

Alexandra Chouldechova and Trevor Hastie Maintainer: Trevor
Hastie <a href="/link/hastie%40stanford.edu?package=gamsel&version=1.8-5" data-mini-rdoc="gamsel::hastie@stanford.edu">hastie@stanford.edu</a>

Author

Plotting Routine for Gamsel Cross-Validation Object — plot.cv.gamsel

<dl>

<dt>x</dt>
<dd><code>cv.gamsel</code> object</dd>


<dt>sign.lambda</dt>
<dd>Either plot against <code>log(lambda)</code> (default) against
<code>-lambda</code> if <code>sign.lambda=-1</code>.</dd>


<dt>...</dt>
<dd>Optional graphical parameters to plot.</dd>

</dl>

Alexandra Chouldechova and Trevor Hastie Maintainer: Trevor
Hastie <a href='mailto:hastie@stanford.edu'>hastie@stanford.edu</a>

plot.cv.gamsel: Plotting Routine for Gamsel Cross-Validation Object

Description

Usage

Arguments

Author

Details

References

Examples