residuals.cyclopsFit

<code>residuals.cyclopsFit</code> computes model residuals for Cox model-based Cyclops objects

This model fitting tool incorporates cyclic coordinate descent and
majorization-minimization approaches to fit a variety of regression models
found in large-scale observational healthcare data. Implementations focus
on computational optimization and fine-scale parallelization to yield
efficient inference in massive datasets. Please see:
Suchard, Simpson, Zorych, Ryan and Madigan (2013) <doi:10.1145/2414416.2414791>.

Marc A Suchard

Cyclops

Cyclic Coordinate Descent for Logistic, Poisson and Survival
Analysis

Marc A. Suchard

Martijn J. Schuemie

Trevor R. Shaddox

Yuxi Tian

Jianxiao Yang

Eric Kawaguchi

Sushil Mittal

Observational Health Data Sciences and Informatics 

Marcus Geelnard

Rutgers University 

R Development Core Team 

residuals.cyclopsFit function

<dl><dt>object</dt>
<dd>A Cyclops model fit object</dd>
<dt>parm</dt>
<dd>A specification of which parameters require residuals,
either a vector of numbers or covariateId names</dd>
<dt>type</dt>
<dd>Character string indicating the type of residual desires. Possible
values are "schoenfeld".</dd>
<dt>...</dt>
<dd>Additional parameters for compatibility with S3 parent function</dd></dl>

Arguments

Model residuals — residuals.cyclopsFit

<dl>

<dt>object</dt>
<dd>A Cyclops model fit object</dd>


<dt>parm</dt>
<dd>A specification of which parameters require residuals,
either a vector of numbers or covariateId names</dd>


<dt>type</dt>
<dd>Character string indicating the type of residual desires. Possible
values are "schoenfeld".</dd>


<dt>...</dt>
<dd>Additional parameters for compatibility with S3 parent function</dd>

</dl>

Model residuals

residuals.cyclopsFit: Model residuals

Description

Usage

Arguments