rGamma

Generates gamma event times with shape parameter \(\alpha\) and rate
parameter \(\lambda\). See <code>FitGamma</code> for the parameterization. If
a censoring proportion \(p\) is provided, the event times are subject to
non-informative random right 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

rGamma function

<dl><dt>n</dt>
<dd>Sample size.</dd>
<dt>a</dt>
<dd>Shape.</dd>
<dt>l</dt>
<dd>Rate.</dd>
<dt>p</dt>
<dd>Expected censoring proportion.</dd></dl>

Arguments

Simulation from the Gamma Distribution — rGamma

<dl>

<dt>n</dt>
<dd>Sample size.</dd>


<dt>a</dt>
<dd>Shape.</dd>


<dt>l</dt>
<dd>Rate.</dd>


<dt>p</dt>
<dd>Expected censoring proportion.</dd>

</dl>

rGamma: Simulation from the Gamma Distribution

Description

Usage

Value

Arguments