SingleSimFit.object

A <code>SingleSimFit</code> object is returned from calling <code>Simfit</code> with
a <code>SingleSim object</code>. It can be used to both impute data sets or can be summarized

Performs reference based multiple imputation of recurrent event data
based on a negative binomial regression model, as described
by Keene et al (2014) <doi:10.1002/pst.1624>.

Jonathan Bartlett

dejaVu

Multiple Imputation for Recurrent Events

Nikolas Burkoff

Paul Metcalfe

David Ruau

SingleSimFit.object function

<dl><dt>singleSim</dt>
<dd>The <code>SingleSim</code> object to which a model has been fitted</dd>
<dt>model</dt>
<dd>The model which has been fitted</dd>
<dt>genCoeff.function</dt>
<dd>A function which returns a list of parameters from the model fit(s) which can 
be used when performing the gamma imputation. It takes one argument, use.uncertainty (by default is TRUE) which
if TRUE stochastically incorporates uncertainty into the parameter estimates in preparation for use with imputation 
If a Poisson/quasi-Poisson model was fitted to the <code>SingleSimFit</code> object
then this will be NULL</dd>
<dt>equal</dt>
<dd>dispersion whether equal dispersions were used when fitting model(s) to the data</dd></dl>

Arguments

SingleSimFit object — SingleSimFit.object

<dl>

<dt>singleSim</dt>
<dd>The <code>SingleSim</code> object to which a model has been fitted</dd>


<dt>model</dt>
<dd>The model which has been fitted</dd>


<dt>genCoeff.function</dt>
<dd>A function which returns a list of parameters from the model fit(s) which can 
be used when performing the gamma imputation. It takes one argument, use.uncertainty (by default is TRUE) which
if TRUE stochastically incorporates uncertainty into the parameter estimates in preparation for use with imputation 
If a Poisson/quasi-Poisson model was fitted to the <code>SingleSimFit</code> object
then this will be NULL</dd>


<dt>equal</dt>
<dd>dispersion whether equal dispersions were used when fitting model(s) to the data</dd>

</dl>

SingleSimFit.object: SingleSimFit object

Description

Arguments

Details