logLik.flexsurvreg

Log likelihood from a flexsurvreg model

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

logLik.flexsurvreg function

<dl><dt>object</dt>
<dd>A fitted model object of class
<code>flexsurvreg</code>, e.g. as returned by
<code>flexsurvreg</code> or <code>flexsurvspline</code>.</dd>
<dt>...</dt>
<dd>Other arguments (currently unused).</dd></dl>

Arguments

Log likelihood from a flexsurvreg model — logLik.flexsurvreg

<dl>

<dt>object</dt>
<dd>A fitted model object of class
<code>flexsurvreg</code>, e.g. as returned by
<code>flexsurvreg</code> or <code>flexsurvspline</code>.</dd>


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

</dl>

logLik.flexsurvreg: Log likelihood from a flexsurvreg model

Description

Usage

Value

Arguments