plot.spdur

Plot results from a spduration model. Two types are currently implemented:
a separation plot for evaluating model predictions ("sepplot"), and a plot of 
the conditional hazard rate ("hazard"), with or without simulation-based
confidence intervals.

An implementation of split-population duration regression models.
Unlike regular duration models, split-population duration models are
mixture models that accommodate the presence of a sub-population that is
not at risk for failure, e.g. cancer patients who have been cured by
treatment. This package implements Weibull and Loglogistic forms for the
duration component, and focuses on data with time-varying covariates.
These models were originally formulated in Boag (1949) and Berkson and Gage
(1952), and extended in Schmidt and Witte (1989).

Andreas Beger

spduration

Split-Population Duration (Cure) Regression

Daina Chiba

Daniel W. Hill, Jr.

Nils W. Metternich

Shahryar Minhas

Michael D. Ward

plot.spdur function

<dl><dt>x</dt>
<dd>An object of class "<code>spdur</code>".</dd>
<dt>type</dt>
<dd>What kind of plot? "sepplot" or "hazard".</dd>
<dt>ci</dt>
<dd>For plots of the hazard rate, should a confidence interval be included?</dd>
<dt>...</dt>
<dd>Optional parameters passed to <code>sepplot</code>
or <code>plot_hazard</code>.</dd></dl>

Arguments

Plot split-duration model results. — plot.spdur

<dl>

<dt>x</dt>
<dd>An object of class "<code>spdur</code>".</dd>


<dt>type</dt>
<dd>What kind of plot? "sepplot" or "hazard".</dd>


<dt>ci</dt>
<dd>For plots of the hazard rate, should a confidence interval be included?</dd>


<dt>...</dt>
<dd>Optional parameters passed to <code>sepplot</code>
or <code>plot_hazard</code>.</dd>

</dl>

plot.spdur: Plot split-duration model results.

Description

Usage

Arguments

See Also

Examples