plot.abesspca

Produces a coefficient/deviance/tuning-value plot
for a fitted "abess" object.

Extremely efficient toolkit for solving the best subset selection problem <https://www.jmlr.org/papers/v23/21-1060.html>. This package is its R interface. The package implements and generalizes algorithms designed in <doi:10.1073/pnas.2014241117> that exploits a novel sequencing-and-splicing technique to guarantee exact support recovery and globally optimal solution in polynomial times for linear model. It also supports best subset selection for logistic regression, Poisson regression, Cox proportional hazard model, Gamma regression, multiple-response regression, multinomial logistic regression, ordinal regression, (sequential) principal component analysis, and robust principal component analysis. The other valuable features such as the best subset of group selection <doi:10.1287/ijoc.2022.1241> and sure independence screening <doi:10.1111/j.1467-9868.2008.00674.x> are also provided.

Jin Zhu

abess

Fast Best Subset Selection

Zezhi Wang

Liyuan Hu

Junhao Huang

Kangkang Jiang

Yanhang Zhang

Borui Tang

Shiyun Lin

Junxian Zhu

Canhong Wen

Heping Zhang

Xueqin Wang

spectra contributors 

plot.abesspca function

<dl><dt>x</dt>
<dd>A "<code>abess</code>" object.</dd>
<dt>type</dt>
<dd>The type of terms to be plot in the y-axis.
One of the following:
<code>"pev"</code> (i.e., percent of explained variance),
<code>"coef"</code> (i.e., coefficients),
and <code>"tune"</code> (i.e., tuning value).
Default is <code>"coef"</code>.</dd>
<dt>label</dt>
<dd>A logical value.
If <code>label = TRUE</code> (the default),
label the curves with variable sequence numbers.</dd>
<dt>...</dt>
<dd>Other graphical parameters to plot</dd></dl>

Arguments

Creat plot from a fitted "abess" object — plot.abesspca

<dl>

<dt>x</dt>
<dd>A "<code>abess</code>" object.</dd>


<dt>type</dt>
<dd>The type of terms to be plot in the y-axis.
One of the following:
<code>"pev"</code> (i.e., percent of explained variance),
<code>"coef"</code> (i.e., coefficients),
and <code>"tune"</code> (i.e., tuning value).
Default is <code>"coef"</code>.</dd>


<dt>label</dt>
<dd>A logical value.
If <code>label = TRUE</code> (the default),
label the curves with variable sequence numbers.</dd>


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

</dl>

Creat plot from a fitted "<code>abess</code>" object

plot.abesspca: Creat plot from a fitted "`abess`" object

Description

Usage

Value

Arguments

See Also

Examples