compare_data_structure

Compare the structure of two data.frames

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 S. Erler

JointAI

Joint Analysis and Imputation of Incomplete Data

compare_data_structure function

<dl><dt>data1</dt>
<dd>a <code>data.frame</code></dd>
<dt>data2</dt>
<dd>a <code>data.frame</code></dd></dl>

Arguments

Compare the structure of two data.frames — compare_data_structure

<dl>

<dt>data1</dt>
<dd>a <code>data.frame</code></dd>


<dt>data2</dt>
<dd>a <code>data.frame</code></dd>

</dl>

compare_data_structure: Compare the structure of two data.frames

Description

Usage

Value

Arguments