model.frame.flexsurvmix

Returns a list of data frames, with each component containing the
data that were used for the model fit for that mixture component.

Flexible parametric models for time-to-event data,
including the Royston-Parmar spline model, generalized gamma and
generalized F distributions.  Any user-defined parametric
distribution can be fitted, given at least an R function defining
the probability density or hazard. There are also tools for
fitting and predicting from fully parametric multi-state models,
based on either cause-specific hazards or mixture models.

Christopher Jackson

flexsurv

Flexible Parametric Survival and Multi-State Models

Paul Metcalfe

Jordan Amdahl

Matthew T. Warkentin

Michael Sweeting

Kevin Kunzmann

model.frame.flexsurvmix function

<dl><dt>formula</dt>
<dd>Fitted model object from <code>flexsurvmix</code>.</dd>
<dt>...</dt>
<dd>Further arguments (currently unused).</dd></dl>

Arguments

Model frame from a flexsurvmix object — model.frame.flexsurvmix

<dl>

<dt>formula</dt>
<dd>Fitted model object from <code>flexsurvmix</code>.</dd>


<dt>...</dt>
<dd>Further arguments (currently unused).</dd>

</dl>

model.frame.flexsurvmix: Model frame from a flexsurvmix object

Description

Usage

Value

Arguments