print.summary.complr

Summary for a <code>complr</code> object

Implement Bayesian Multilevel Modelling for compositional data
in a multilevel framework. Compute multilevel compositional data and
Isometric log ratio (ILR) at between and within-person levels,
fit Bayesian multilevel models for compositional predictors and outcomes,
and run post-hoc analyses such as isotemporal substitution models.
References:
Le, Stanford, Dumuid, and Wiley (2024) <doi:10.48550/arXiv.2405.03985>,
Le, Dumuid, Stanford, and Wiley (2024) <doi:10.48550/arXiv.2411.12407>.

Flora Le

multilevelcoda

Estimate Bayesian Multilevel Models for Compositional Data

Joshua F. Wiley

print.summary.complr function

<dl><dt>x</dt>
<dd>An object of class <code>summary.complr</code>.</dd>
<dt>...</dt>
<dd>Other arguments passed to <code>summary.complr</code>.</dd></dl>

Arguments

Summary for a complr object — print.summary.complr

<dl>

<dt>x</dt>
<dd>An object of class <code>summary.complr</code>.</dd>


<dt>...</dt>
<dd>Other arguments passed to <code>summary.complr</code>.</dd>

</dl>

print.summary.complr: Summary for a `complr` object

Description

Usage

Arguments

See Also

Examples