GenGammaShape

Profile MLE of the first shape parameter \(\alpha\) of the generalized gamma
given the second shape parameter \(\beta\).

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

GenGammaShape function

<dl><dt>data</dt>
<dd>Data.frame.</dd>
<dt>beta</dt>
<dd>Second shape parameter.</dd></dl>

Arguments

Generalized Gamma Shape MLE — GenGammaShape

<dl>

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


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

</dl>

GenGammaShape: Generalized Gamma Shape MLE

Description

Usage

Value

Arguments