extract_lhs_varnames

This internal helper function extracts variable names from the left-hand
side (LHS) of a formula or a list of formulas. It supports standard formulas,
survival objects, transformations (e.g., <code>log(x)</code>), and multivariate outcomes
(e.g., <code>cbind(a, b, c)</code>).

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

extract_lhs_varnames function

<dl><dt>formula</dt>
<dd>A formula object, a list of formulas, or <code>NULL</code>.</dd></dl>

Arguments

Extract variable names from the left-hand side of a formula — extract_lhs_varnames

<dl>

<dt>formula</dt>
<dd>A formula object, a list of formulas, or <code>NULL</code>.</dd>

</dl>

extract_lhs_varnames: Extract variable names from the left-hand side of a formula

Description

Usage

Value

Arguments

See Also