transform.incubate_fit

The transformation used is the probability integral transform: the cumulative
distribution function with the estimated parameters of the model fit takes
the data into the 0-1 interval. All available data in the model fit is
transformed. Censored observations lead to censored back-transformed
observations as well.

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

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