conv.check

Convergence diagnostics on fitted model output.

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

conv.check function

<dl><dt>object</dt>
<dd>Fitted model object.</dd>
<dt>also.unpen</dt>
<dd>If <code>TRUE</code>, displays eigenvalues range also for the unpenalised Hessian. Defaults to <code>FALSE</code>.</dd></dl>

Arguments

Convergence diagnostics on fitted model output. — conv.check

<dl>

<dt>object</dt>
<dd>Fitted model object.</dd>


<dt>also.unpen</dt>
<dd>If <code>TRUE</code>, displays eigenvalues range also for the unpenalised Hessian. Defaults to <code>FALSE</code>.</dd>

</dl>

conv.check: Convergence diagnostics on fitted model output.

Description

Usage

Value

Arguments