GenGammaScore

Score equation for the generalized gamma log likelihood in the absence
of censoring.

Performs maximum likelihood based estimation and inference on time to event data, possibly subject to non-informative right censoring. FitParaSurv() provides maximum likelihood estimates of model parameters and distributional characteristics, including the mean, median, variance, and restricted mean. CompParaSurv() compares the mean, median, and restricted mean survival experiences of two treatment groups. Candidate distributions include the exponential, gamma, generalized gamma, log-normal, and Weibull.

Zachary McCaw

Temporal

Parametric Time to Event Analysis

GenGammaScore function

<dl><dt>data</dt>
<dd>Data.frame.</dd>
<dt>alpha</dt>
<dd>First shape parameter.</dd>
<dt>beta</dt>
<dd>Second shape parameter.</dd>
<dt>lambda</dt>
<dd>Rate parameter.</dd></dl>

Arguments

Generalized Gamma Score Equation — GenGammaScore

<dl>

<dt>data</dt>
<dd>Data.frame.</dd>


<dt>alpha</dt>
<dd>First shape parameter.</dd>


<dt>beta</dt>
<dd>Second shape parameter.</dd>


<dt>lambda</dt>
<dd>Rate parameter.</dd>

</dl>

GenGammaScore: Generalized Gamma Score Equation

Description

Usage

Value

Arguments