plot.biglasso

Produce a plot of the coefficient paths for a fitted <code>biglasso</code>
object.

models

regression

Extend lasso and elastic-net model fitting for ultra
high-dimensional, multi-gigabyte data sets that cannot be loaded into
memory. Designed to be more memory- and computation-efficient than existing
lasso-fitting packages like 'glmnet' and 'ncvreg', thus allowing
the user to analyze big data analysis even on an ordinary laptop.

Patrick Breheny

biglasso

Extending Lasso Model Fitting to Big Data

Yaohui Zeng

Chuyi Wang

plot.biglasso function

<dl><dt>x</dt>
<dd>Fitted <code>"biglasso"</code> model.</dd>
<dt>alpha</dt>
<dd>Controls alpha-blending, helpful when the number of covariates
is large. Default is alpha=1.</dd>
<dt>log.l</dt>
<dd>Should horizontal axis be on the log scale? Default is TRUE.</dd>
<dt>...</dt>
<dd>Other graphical parameters to <code>plot</code></dd></dl>

Arguments

Yaohui Zeng and Patrick Breheny
Maintainer: Yaohui Zeng &lt;yaohui.zeng@gmail.com&gt;

Author

Plot coefficients from a "biglasso" object — plot.biglasso

<dl>

<dt>x</dt>
<dd>Fitted <code>"biglasso"</code> model.</dd>


<dt>alpha</dt>
<dd>Controls alpha-blending, helpful when the number of covariates
is large. Default is alpha=1.</dd>


<dt>log.l</dt>
<dd>Should horizontal axis be on the log scale? Default is TRUE.</dd>


<dt>...</dt>
<dd>Other graphical parameters to <code>plot</code></dd>

</dl>

plot.biglasso: Plot coefficients from a "biglasso" object

Description

Usage

Arguments

Author

See Also

Examples