testProportionality

<code>testProportionality</code> tests the hazard ratio proportionality assumption
of a Cyclops model fit object

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 

testProportionality 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>transformedTimes</dt>
<dd>Vector of transformed time</dd></dl>

Arguments

Test hazard ratio proportionality assumption — testProportionality

<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>transformedTimes</dt>
<dd>Vector of transformed time</dd>

</dl>

Test hazard ratio proportionality assumption

testProportionality: Test hazard ratio proportionality assumption

Description

Usage

Arguments