frail.fit

Utilizing GLMM models: Experimental, not exported (yet).

Parametric proportional hazards fitting with left truncation and
right censoring for common families of distributions, piecewise constant
hazards, and discrete models. Parametric accelerated failure time models
for left truncated and right censored data. Proportional hazards
models for tabular and register data. Sampling of risk sets in Cox
regression, selections in the Lexis diagram, bootstrapping.
Broström (2022) <doi:10.1201/9780429503764>.

Göran Broström

Event History Analysis

Jianming Jin

frail.fit function

<dl><dt>X</dt>
<dd>design matrix</dd>
<dt>Y</dt>
<dd>survival object</dd>
<dt>rs</dt>
<dd>output from <code>risksets</code></dd>
<dt>strats</dt>
<dd>strata</dd>
<dt>offset</dt>
<dd>offset</dd>
<dt>init</dt>
<dd>start values</dd>
<dt>max.survs</dt>
<dd>for sampling of riskset survivors</dd>
<dt>frailty</dt>
<dd>grouping variable</dd>
<dt>control</dt>
<dd>control of optimization</dd></dl>

Arguments

Frailty experiment — frail.fit

<dl>

<dt>X</dt>
<dd>design matrix</dd>


<dt>Y</dt>
<dd>survival object</dd>


<dt>rs</dt>
<dd>output from <code>risksets</code></dd>


<dt>strats</dt>
<dd>strata</dd>


<dt>offset</dt>
<dd>offset</dd>


<dt>init</dt>
<dd>start values</dd>


<dt>max.survs</dt>
<dd>for sampling of riskset survivors</dd>


<dt>frailty</dt>
<dd>grouping variable</dd>


<dt>control</dt>
<dd>control of optimization</dd>

</dl>

frail.fit: Frailty experiment

Description

Usage

Arguments