update.incubate_fit

Refit an <code>incubate_fit</code>-object with specified optimization arguments.
If more things need to be changed go back to <code>delay_model</code> and start from scratch.

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

update.incubate_fit function

<dl><dt>object</dt>
<dd><code>incubate_fit</code>-object</dd>
<dt>optim_args</dt>
<dd>optimization arguments</dd>
<dt>verbose</dt>
<dd>integer flag. Requested verbosity during <code>delay_fit</code></dd>
<dt>...</dt>
<dd>further arguments, currently not used.</dd></dl>

Arguments

Refit an incubate_fit-object with specified optimization arguments.
If more things need to be changed go back to delay_model and start from scratch. — update.incubate_fit

<dl>

<dt>object</dt>
<dd><code>incubate_fit</code>-object</dd>


<dt>optim_args</dt>
<dd>optimization arguments</dd>


<dt>verbose</dt>
<dd>integer flag. Requested verbosity during <code>delay_fit</code></dd>


<dt>...</dt>
<dd>further arguments, currently not used.</dd>

</dl>

Refit an <code>incubate_fit</code>-object with specified optimization arguments.
If more things need to be changed go back to <code>delay_model</code> and start from scratch.

update.incubate_fit: Refit an `incubate_fit`-object with specified optimization arguments. If more things need to be changed go back to `delay_model` and start from scratch.

Description

Usage

Value

Arguments