rd_terms_by_grouping

This function takes a formula as input, extracts terms that are
associated with grouping variables, and organizes them by grouping variable.

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

rd_terms_by_grouping function

<dl><dt>formula</dt>
<dd>a <code>formula</code> object</dd></dl>

Arguments

Extract terms by grouping variables from a formula — rd_terms_by_grouping

<dl>

<dt>formula</dt>
<dd>a <code>formula</code> object</dd>

</dl>

rd_terms_by_grouping: Extract terms by grouping variables from a formula

Description

Usage

Value

Arguments