fit-class

Defines the object class returned by fitting functions.

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

fit-class function

<dl>
<dt><code>Distribution</code></dt>
<dd>Fitted distribution, string.</dd></dl>
<dt><code>Parameters</code></dt>
<dd>Parameters, data.frame.</dd>
<dt><code>Information</code></dt>
<dd>Information components, matrix.</dd>
<dt><code>Outcome</code></dt>
<dd>Properties of the fitted distribution, data.frame.</dd>
<dt><code>RMST</code></dt>
<dd>Estimated restricted mean survival times, data.frame</dd>
<dt><code>S</code></dt>
<dd>Fitted survival function, function.</dd>

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Fitted Survival Distribution — fit-class

<dl>
<dt><code>Distribution</code></dt>
<dd>Fitted distribution, string.</dd>


<dt><code>Parameters</code></dt>
<dd>Parameters, data.frame.</dd>


<dt><code>Information</code></dt>
<dd>Information components, matrix.</dd>


<dt><code>Outcome</code></dt>
<dd>Properties of the fitted distribution, data.frame.</dd>


<dt><code>RMST</code></dt>
<dd>Estimated restricted mean survival times, data.frame</dd>


<dt><code>S</code></dt>
<dd>Fitted survival function, function.</dd>


</dl>

fit-class: Fitted Survival Distribution

Description

Arguments

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