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.

Flexible Parametric Survival and Multi-State Models

package-ubuntu-20.04-r-4.0.5#cran#flexsurv-2.0

<p>These objects are imported from other packages. Follow the links
below to see their documentation.
</p>

<dl>
<dt>generics</dt>
<dd>
<p><code><a href="../../generics/html/augment.html">augment</a></code>, <code><a href="../../generics/html/glance.html">glance</a></code>, <code><a href="../../generics/html/tidy.html">tidy</a></code></p>
</dd>
</dl>

package-ubuntu-20.04-r-4.0.5#cran#flexsurv-2.0#docs#reexports

reexports

Description

flexsurv

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