minObjFunPORT

Minimize an objective function with PORT routine (nlminb)

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

minObjFunPORT function

<dl><dt>objFun</dt>
<dd>objective function</dd>
<dt>start</dt>
<dd>numeric vector of parameter values to start optimization</dd>
<dt>lower</dt>
<dd>numeric. lower bound for parameters (boxed constraint)</dd>
<dt>upper</dt>
<dd>numeric. upper bound for parameters (boxed constraint)</dd>
<dt>verbose</dt>
<dd>numeric. Verbosity level.</dd></dl>

Arguments

Minimize an objective function with PORT routine (nlminb) — minObjFunPORT

<dl>

<dt>objFun</dt>
<dd>objective function</dd>


<dt>start</dt>
<dd>numeric vector of parameter values to start optimization</dd>


<dt>lower</dt>
<dd>numeric. lower bound for parameters (boxed constraint)</dd>


<dt>upper</dt>
<dd>numeric. upper bound for parameters (boxed constraint)</dd>


<dt>verbose</dt>
<dd>numeric. Verbosity level.</dd>

</dl>

minObjFunPORT: Minimize an objective function with PORT routine (nlminb)

Description

Usage

Arguments