plot.weibreg

Plot(s) of the hazard, density, cumulative hazards, and/or the survivor
function(s) for each stratum.

dplot

survival

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

plot.weibreg function

<dl><dt>x</dt>
<dd>A <code>weibreg</code> object</dd>
<dt>fn</dt>
<dd>Which functions shoud be plotted! Default is all. They will scroll
by, so you have to take care explicitely what you want to be produced. See,
eg, <code>par(mfrow = ...)</code></dd>
<dt>main</dt>
<dd>Header for the plot</dd>
<dt>xlim</dt>
<dd>x limits</dd>
<dt>ylim</dt>
<dd>y limits</dd>
<dt>xlab</dt>
<dd>x label</dd>
<dt>ylab</dt>
<dd>y label</dd>
<dt>new.data</dt>
<dd>At which covariate values?</dd>
<dt>...</dt>
<dd>Extra parameters passed to 'plot'</dd></dl>

Arguments

Author

Plots output from a Weibull regression — plot.weibreg

<dl>

<dt>x</dt>
<dd>A <code>weibreg</code> object</dd>


<dt>fn</dt>
<dd>Which functions shoud be plotted! Default is all. They will scroll
by, so you have to take care explicitely what you want to be produced. See,
eg, <code>par(mfrow = ...)</code></dd>


<dt>main</dt>
<dd>Header for the plot</dd>


<dt>xlim</dt>
<dd>x limits</dd>


<dt>ylim</dt>
<dd>y limits</dd>


<dt>xlab</dt>
<dd>x label</dd>


<dt>ylab</dt>
<dd>y label</dd>


<dt>new.data</dt>
<dd>At which covariate values?</dd>


<dt>...</dt>
<dd>Extra parameters passed to 'plot'</dd>

</dl>

plot.weibreg: Plots output from a Weibull regression

Description

Usage

Value

Arguments

Author

Details

See Also

Examples