AICc

AICC

Generic function for the second-order Akaike information criterion.
The only current implementation of this in flexsurv is
in <code>AICc.flexsurvreg</code>, see there for more details.

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

AICc function

<dl><dt>object</dt>
<dd>Fitted model object.</dd>
<dt>...</dt>
<dd>Other arguments (currently unused).</dd></dl>

Arguments

Second-order Akaike information criterion — AICc

<dl>

<dt>object</dt>
<dd>Fitted model object.</dd>


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

</dl>

AICc: Second-order Akaike information criterion

Description

Usage

Arguments

Details