delay_fit

The objective function carries the given data in its environment and it is to be minimized.
R's standard routine <code><a href="/link/stats%3A%3Aoptim?package=incubate&version=1.3.0" data-mini-rdoc="incubate::stats::optim">stats::optim</a></code> does the numerical optimization, using numerical derivatives.
or the analytical solution is returned directly if available.

Fit parametric models for time-to-event data that show an initial
'incubation period', i.e., a variable delay phase where the hazard is zero. The
delayed Weibull distribution serves as foundational data model. The
specific method of 'MPSE' (maximum product of spacings estimation) and MLE-based methods are used for parameter
estimation. Bootstrap confidence intervals for parameters and significance
tests in a two group setting are provided.

Matthias Kuhn

incubate

Parametric Time-to-Event Analysis with Variable Incubation
Phases

delay_fit function

<dl><dt>objFun</dt>
<dd>objective function to be minimized</dd>
<dt>optim_args</dt>
<dd>list of own arguments for optimization. If <code>NULL</code> it uses the default optim arguments associated to the objective function.</dd>
<dt>verbose</dt>
<dd>integer that indicates the level of verboseness. Default 0 is quiet.</dd></dl>

Arguments

The objective function carries the given data in its environment and it is to be minimized.
R's standard routine <code><a href='https://rdrr.io/r/stats/optim.html'>stats::optim</a></code> does the numerical optimization, using numerical derivatives.
or the analytical solution is returned directly if available.

Fit optimal parameters according to the objective function (either MPSE or MLE-based). — delay_fit

<dl>

<dt>objFun</dt>
<dd>objective function to be minimized</dd>


<dt>optim_args</dt>
<dd>list of own arguments for optimization. If <code>NULL</code> it uses the default optim arguments associated to the objective function.</dd>


<dt>verbose</dt>
<dd>integer that indicates the level of verboseness. Default 0 is quiet.</dd>

</dl>

delay_fit: Fit optimal parameters according to the objective function (either MPSE or MLE-based).

Description

Usage

Value

Arguments