rLogNormal

Generates log-normal event times with location parameter \(\mu\) and scale
parameter \(\sigma\). See <code>FitLogNormal</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

rLogNormal function

<dl><dt>n</dt>
<dd>Sample size.</dd>
<dt>m</dt>
<dd>Location.</dd>
<dt>s</dt>
<dd>Scale.</dd>
<dt>p</dt>
<dd>Expected censoring proportion.</dd></dl>

Arguments

Simulation from the Log-Normal Distribution — rLogNormal

<dl>

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


<dt>m</dt>
<dd>Location.</dd>


<dt>s</dt>
<dd>Scale.</dd>


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

</dl>

rLogNormal: Simulation from the Log-Normal Distribution

Description

Usage

Value

Arguments