sum_duration

Calculate the sum of the computational duration of a JointAI object

Joint analysis and imputation of incomplete data in the Bayesian
framework, using (generalized) linear (mixed) models and extensions there of,
survival models, or joint models for longitudinal and survival data, as
described in Erler, Rizopoulos and Lesaffre (2021) <doi:10.18637/jss.v100.i20>.
Incomplete covariates, if present, are automatically imputed.
The package performs some preprocessing of the data and creates a 'JAGS'
model, which will then automatically be passed to 'JAGS'
<https://mcmc-jags.sourceforge.io/> with the help of
the package 'rjags'.

Nicole Erler

JointAI

Joint Analysis and Imputation of Incomplete Data

Nicole S. Erler

sum_duration function

<dl><dt>object</dt>
<dd>object of class <code>JointAI</code></dd>
<dt>by</dt>
<dd>optional grouping information; options are <code>NULL</code> (default) to
calculate the sum over all chains and runs and both the adaptive
and sampling phase, <code>"run"</code> to get the duration per run,
<code>"phase"</code> to get the sum over all chains and runs per phase,
<code>"chain"</code> to get the sum per chain over both phases and all runs,
<code>"phase and run"</code> to get the sum over all chains, separately per
phase and run.</dd></dl>

Arguments

Calculate the sum of the computational duration of a JointAI object — sum_duration

<dl>

<dt>object</dt>
<dd>object of class <code>JointAI</code></dd>


<dt>by</dt>
<dd>optional grouping information; options are <code>NULL</code> (default) to
calculate the sum over all chains and runs and both the adaptive
and sampling phase, <code>"run"</code> to get the duration per run,
<code>"phase"</code> to get the sum over all chains and runs per phase,
<code>"chain"</code> to get the sum per chain over both phases and all runs,
<code>"phase and run"</code> to get the sum over all chains, separately per
phase and run.</dd>

</dl>

sum_duration: Calculate the sum of the computational duration of a JointAI object

Description

Usage

Arguments