update.incubate_fit

This function is useful when only an optimization argument is to be changed.
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 no events occur.
The delayed Weibull distribution serves as the foundational data model.
For parameter estimation, different flavours of maximum likelihood
estimation ('MLE') and the method of maximum product of spacings estimation
('MPSE') are implemented. 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 — 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>

update.incubate_fit: Refit an `incubate_fit`-object with specified optimization arguments

Description

Usage

Value

Arguments