test_GOF

The GOF-test is performed for a fitted delay-model that was
fit using MPSE.
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 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

test_GOF function

<dl><dt>delayFit</dt>
<dd>delay_model fit object</dd>
<dt>method</dt>
<dd>character(1). which method to use for GOF. Default is 'moran'.</dd>
<dt>estimated</dt>
<dd>flag. Moran test: was the parameter estimated?</dd>
<dt>verbose</dt>
<dd>integer. Verbosity level. The higher the more verbose debugging output.</dd></dl>

Arguments

Goodness-of-fit (GOF) test statistic (experimental!) — test_GOF

<dl>

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


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


<dt>estimated</dt>
<dd>flag. Moran test: was the parameter estimated?</dd>


<dt>verbose</dt>
<dd>integer. Verbosity level. The higher the more verbose debugging output.</dd>

</dl>

test_GOF: Goodness-of-fit (GOF) test statistic (experimental!)

Description

Usage

Value

Arguments

Details