tidy.standsurv

This function is used internally by <code>standsurv</code> and tidy
data.frames are automatically returned by the function.

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

tidy.standsurv function

<dl><dt>x</dt>
<dd>A standsurv object.</dd>
<dt>...</dt>
<dd>Not currently used.</dd></dl>

Arguments

Tidy a standsurv object. — tidy.standsurv

<dl>

<dt>x</dt>
<dd>A standsurv object.</dd>


<dt>...</dt>
<dd>Not currently used.</dd>

</dl>

tidy.standsurv: Tidy a standsurv object.

Description

Usage

Value

Arguments