plot.mbiglasso

Produce a plot of the coefficient paths for a fitted multiple responses <code>mbiglasso</code> object.

Extend lasso and elastic-net model fitting for large 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 with limited RAM
<doi:10.32614/RJ-2021-001>.

Patrick Breheny

biglasso

Extending Lasso Model Fitting to Big Data

Yaohui Zeng

Chuyi Wang

Tabitha Peter

plot.mbiglasso function

<dl><dt>x</dt>
<dd>Fitted <code>mbiglasso</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>norm.beta</dt>
<dd>Should the vertical axis be the l2 norm of coefficients for each variable?
Default is TRUE. If False, the vertical axis is the coefficients.</dd>
<dt>...</dt>
<dd>Other graphical parameters to <code><a href="/link/plot()?package=biglasso&version=1.7.2" data-mini-rdoc="biglasso::plot()">plot()</a></code></dd></dl>

Arguments

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

<dl>

<dt>x</dt>
<dd>Fitted <code>mbiglasso</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>norm.beta</dt>
<dd>Should the vertical axis be the l2 norm of coefficients for each variable?
Default is TRUE. If False, the vertical axis is the coefficients.</dd>


<dt>...</dt>
<dd>Other graphical parameters to <code><a href='https://rdrr.io/r/graphics/plot.default.html'>plot()</a></code></dd>

</dl>

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

Description

Usage

Value

Arguments

See Also