simulateIDM

Function to predict and plot the estimated transition intensities (and confidence intervals).

A general estimation framework for multi-state Markov processes with flexible specification of the transition intensities.
The log-transition intensities can be specified through Generalised Additive Models which allow for virtually any type of covariate
effect. Elementary specifications such as time-homogeneous processes and simple parametric forms are also supported. There are
no limitations on the type of process one can assume, with both forward and backward transitions allowed and virtually any number
of states.

Alessia Eletti

flexmsm

A General Framework for Flexible Multi-State Survival Modelling

Giampiero Marra

Rosalba Radice

simulateIDM function

<dl><dt>N</dt>
<dd>Total number of individuals.</dd>
<dt>seed</dt>
<dd>Seed used for the simulation.</dd>
<dt>og.12</dt>
<dd>If <code>TRUE</code> a common shape for the first transition is used. If <code>FALSE</code> a sinusoid is used.</dd></dl>

Arguments

Function to predict and plot the estimated transition intensities (and confidence intervals). — simulateIDM

<dl>

<dt>N</dt>
<dd>Total number of individuals.</dd>


<dt>seed</dt>
<dd>Seed used for the simulation.</dd>


<dt>og.12</dt>
<dd>If <code>TRUE</code> a common shape for the first transition is used. If <code>FALSE</code> a sinusoid is used.</dd>

</dl>

simulateIDM: Function to predict and plot the estimated transition intensities (and confidence intervals).

Description

Usage

Value

Arguments