sploglog_lnl

Split-population Log-logistic log likelihood

internal

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

sploglog_lnl function

<dl><dt>theta</dt>
<dd>Current parameter values.</dd>
<dt>y</dt>
<dd>Dependent variables.</dd>
<dt>X</dt>
<dd>Duration equation covariates.</dd>
<dt>Z</dt>
<dd>Risk equation covariates.</dd></dl>

Arguments

Split-population Log-logistic log likelihood — sploglog_lnl

<dl>

<dt>theta</dt>
<dd>Current parameter values.</dd>


<dt>y</dt>
<dd>Dependent variables.</dd>


<dt>X</dt>
<dd>Duration equation covariates.</dd>


<dt>Z</dt>
<dd>Risk equation covariates.</dd>

</dl>

sploglog_lnl: Split-population Log-logistic log likelihood

Description

Usage

Arguments