plot.big_pls_cox

Plot method for big_pls_cox objects

Provides Partial least squares Regression and various regular, sparse
or kernel, techniques for fitting Cox models for big data. Provides a Partial
Least Squares (PLS) algorithm adapted to Cox proportional hazards models that
works with 'bigmemory' matrices without loading the entire dataset in memory.
Also implements a gradient-descent based solver for Cox proportional hazards
models that works directly on 'bigmemory' matrices.
Bertrand and Maumy (2023) <https://hal.science/hal-05352069>, and
<https://hal.science/hal-05352061> highlighted
fitting and cross-validating PLS-based Cox models to censored big data.

Frederic Bertrand

bigPLScox

Partial Least Squares for Cox Models with Big Matrices

Myriam Maumy-Bertrand

plot.big_pls_cox function

<dl><dt>x</dt>
<dd>A <code>big_pls_cox</code> object.</dd>
<dt>which</dt>
<dd>Type of plot: "scores", "loadings", or "risk_groups".</dd>
<dt>comps</dt>
<dd>Components to use (for "scores" and "loadings").</dd>
<dt>groups</dt>
<dd>Optional grouping factor for scores plot; if NULL and
<code>status</code> available, groups are derived from event status.</dd>
<dt>breaks</dt>
<dd>Number of risk groups for "risk_groups" (default 3).</dd>
<dt>...</dt>
<dd>Further graphical arguments (passed to base plotting functions).</dd></dl>

Arguments

Plot method for big_pls_cox objects — plot.big_pls_cox

<dl>

<dt>x</dt>
<dd>A <code>big_pls_cox</code> object.</dd>


<dt>which</dt>
<dd>Type of plot: "scores", "loadings", or "risk_groups".</dd>


<dt>comps</dt>
<dd>Components to use (for "scores" and "loadings").</dd>


<dt>groups</dt>
<dd>Optional grouping factor for scores plot; if NULL and
<code>status</code> available, groups are derived from event status.</dd>


<dt>breaks</dt>
<dd>Number of risk groups for "risk_groups" (default 3).</dd>


<dt>...</dt>
<dd>Further graphical arguments (passed to base plotting functions).</dd>

</dl>

plot.big_pls_cox: Plot method for big_pls_cox objects

Description

Usage

Arguments