plot.big_pls_cox_gd

Plot method for big_pls_cox_gd objects
Basic diagnostic plots for big_pls_cox_gd

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_gd function

<dl><dt>x</dt>
<dd>A <code>big_pls_cox</code> object.</dd>
<dt>what</dt>
<dd>Character string specifying what to plot.
Typically <code>"scores"</code>, <code>"loadings"</code> or <code>"coefficients"</code>.</dd>
<dt>...</dt>
<dd>Further graphical arguments (passed to base plotting functions).</dd></dl>

Arguments

Plot method for big_pls_cox_gd objects — plot.big_pls_cox_gd

<dl>

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


<dt>what</dt>
<dd>Character string specifying what to plot.
Typically <code>"scores"</code>, <code>"loadings"</code> or <code>"coefficients"</code>.</dd>


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

</dl>

plot.big_pls_cox_gd: Plot method for big_pls_cox_gd objects

Description

Usage

Arguments