plot_hazard1

Plot hazard function without simulated confidence intervals. See
<code>plot_hazard</code> instead.

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_hazard1 function

<dl><dt>x</dt>
<dd>class "spdur" object</dd>
<dt>...</dt>
<dd>passed to <code>plot_hazard</code></dd></dl>

Arguments

Plot conditional hazard rate — plot_hazard1

<dl>

<dt>x</dt>
<dd>class "spdur" object</dd>


<dt>...</dt>
<dd>passed to <code>plot_hazard</code></dd>

</dl>

plot_hazard1: Plot conditional hazard rate

Description

Usage

Value

Arguments