nobs.flexsurvreg

Number of observations contributing to a fitted flexible survival model

models

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

nobs.flexsurvreg function

<dl><dt>object</dt>
<dd>Output from <code>flexsurvreg</code> or
<code>flexsurvspline</code>, representing a fitted survival model object.</dd>
<dt>...</dt>
<dd>Further arguments passed to or from other methods. Currently
unused.</dd></dl>

Arguments

C. H. Jackson <a href="/link/chris.jackson%40mrc-bsu.cam.ac.uk?package=flexsurv&version=2.2.2" data-mini-rdoc="flexsurv::chris.jackson@mrc-bsu.cam.ac.uk">chris.jackson@mrc-bsu.cam.ac.uk</a>

Author

Number of observations contributing to a fitted flexible survival model — nobs.flexsurvreg

<dl>

<dt>object</dt>
<dd>Output from <code>flexsurvreg</code> or
<code>flexsurvspline</code>, representing a fitted survival model object.</dd>


<dt>...</dt>
<dd>Further arguments passed to or from other methods. Currently
unused.</dd>

</dl>

C. H. Jackson <a href='mailto:chris.jackson@mrc-bsu.cam.ac.uk'>chris.jackson@mrc-bsu.cam.ac.uk</a>

nobs.flexsurvreg: Number of observations contributing to a fitted flexible survival model

Description

Usage

Value

Arguments

Author

Details

See Also