paste_data

Write the data element of a linear predictor

internal

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

paste_data function

<dl><dt>matnam</dt>
<dd>characters string; name of the data matrix</dd>
<dt>index</dt>
<dd>character string; the index (e.g., "i", or "ii")</dd>
<dt>col</dt>
<dd>integer vector; the indices of the columns in <code>matnam</code></dd>
<dt>isgk</dt>
<dd>logical; is this for within the Gauss-Kronrod quadrature?</dd></dl>

Arguments

Write the data element of a linear predictor — paste_data

<dl>

<dt>matnam</dt>
<dd>characters string; name of the data matrix</dd>


<dt>index</dt>
<dd>character string; the index (e.g., "i", or "ii")</dd>


<dt>col</dt>
<dd>integer vector; the indices of the columns in <code>matnam</code></dd>


<dt>isgk</dt>
<dd>logical; is this for within the Gauss-Kronrod quadrature?</dd>

</dl>

paste_data: Write the data element of a linear predictor

Description

Usage

Value

Arguments