AIC.spdur

Computes the Akaike Information Criterion for an <code>spdur</code> class object.

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

AIC.spdur function

<dl><dt>object</dt>
<dd>An object of class <code>spdur</code>.</dd>
<dt>...</dt>
<dd>Optional arguments.</dd>
<dt>k</dt>
<dd>The penalty parameter, by default 2. For <code>BIC.spdur</code>,
the penalty parameter equals <code>log(N)</code>.</dd></dl>

Arguments

AIC method for spdur — AIC.spdur

<dl>

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


<dt>...</dt>
<dd>Optional arguments.</dd>


<dt>k</dt>
<dd>The penalty parameter, by default 2. For <code>BIC.spdur</code>,
the penalty parameter equals <code>log(N)</code>.</dd>

</dl>

AIC.spdur: AIC method for spdur

Description

Usage

Arguments

See Also

Examples