simfs_bytrans

Reformat simulated multi-state data with one row per simulated transition

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

simfs_bytrans function

<dl><dt>simfs</dt>
<dd>Output from <code>sim.fmsm</code> representing simulated histories from a multi-state model.</dd></dl>

Arguments

Reformat simulated multi-state data with one row per simulated transition — simfs_bytrans

<dl>

<dt>simfs</dt>
<dd>Output from <code>sim.fmsm</code> representing simulated histories from a multi-state model.</dd>

</dl>

simfs_bytrans: Reformat simulated multi-state data with one row per simulated transition

Description

Usage

Value

Arguments