test_GOF

The GOF-test is performed for a fitted delay-model.
There are different GOF-tests implemented:<ul>
<li>Moran GOF is based on spacings, like the MPSE-criterion itself.</li>
<li>Pearson GOF uses categories and compares observed to expected frequencies.</li>
</ul>

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

test_GOF function

<dl><dt>delayFit</dt>
<dd>delay_model fit</dd>
<dt>method</dt>
<dd>character(1). which method to use for GOF. Default is 'moran'.</dd></dl>

Arguments

Goodness-of-fit (GOF) test statistic. — test_GOF

<dl>

<dt>delayFit</dt>
<dd>delay_model fit</dd>


<dt>method</dt>
<dd>character(1). which method to use for GOF. Default is 'moran'.</dd>

</dl>

test_GOF: Goodness-of-fit (GOF) test statistic.

Description

Usage

Value

Arguments