align_big_plscox

Align a GD fit to a PLS fit (optional refit)

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

align_big_plscox function

<dl><dt>fit_gd</dt>
<dd>object from big_pls_cox_gd()</dd>
<dt>fit_pls</dt>
<dd>object from big_pls_cox()</dd>
<dt>time, status</dt>
<dd>Surv parts used for refit</dd>
<dt>rotate</dt>
<dd>logical; Procrustes-rotate GD scores to the PLS basis</dd>
<dt>refit</dt>
<dd>logical; refit a Cox model on the rotated GD scores</dd></dl>

Arguments

Align a GD fit to a PLS fit (optional refit) — align_big_plscox

<dl>

<dt>fit_gd</dt>
<dd>object from big_pls_cox_gd()</dd>


<dt>fit_pls</dt>
<dd>object from big_pls_cox()</dd>


<dt>time, status</dt>
<dd>Surv parts used for refit</dd>


<dt>rotate</dt>
<dd>logical; Procrustes-rotate GD scores to the PLS basis</dd>


<dt>refit</dt>
<dd>logical; refit a Cox model on the rotated GD scores</dd>

</dl>

align_big_plscox: Align a GD fit to a PLS fit (optional refit)

Description

Usage

Value

Arguments