replace_nan_with_na

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

replace_nan_with_na function

<dl><dt>x</dt>
<dd>a vector (also works for matrices and scalars)</dd></dl>

Arguments

Replace NaN values with NA — replace_nan_with_na

<dl>

<dt>x</dt>
<dd>a vector (also works for matrices and scalars)</dd>

</dl>

replace_nan_with_na: Replace NaN values with NA

Description

Usage

Value

Arguments