clean_names

Cleans up factor levels (or other strings) by replacing ":" with "_" to avoid
issues with the current implementation of identifying interactions (which looks
for ":" in model terms).

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

clean_names function

<dl><dt>string</dt>
<dd>a character string</dd></dl>

Arguments

Replace ":" with "_" in a string — clean_names

<dl>

<dt>string</dt>
<dd>a character string</dd>

</dl>

clean_names: Replace ":" with "_" in a string

Description

Usage

Value

Arguments

Details