transform.incubate_fit

The transformation is the probability integral transform. It uses the cumulative distribution function with the estimated parameters of the model fit.
All available data in the model fit is transformed.

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

transform.incubate_fit function

<dl><dt>_data</dt>
<dd>a fitted model object of class <code>incubate_fit</code></dd>
<dt>...</dt>
<dd>currently ignored</dd></dl>

Arguments

Transform observed data to unit interval — transform.incubate_fit

<dl>

<dt>_data</dt>
<dd>a fitted model object of class <code>incubate_fit</code></dd>


<dt>...</dt>
<dd>currently ignored</dd>

</dl>

transform.incubate_fit: Transform observed data to unit interval

Description

Usage

Value

Arguments