nobs.brmcoda

Extract Number of Observations from brmcoda 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

nobs.brmcoda function

<dl><dt>object</dt>
<dd>A <code>brmcoda</code> object.</dd>
<dt>...</dt>
<dd>Further arguments to be passed to methods.</dd></dl>

Arguments

Extract Number of Observations from brmcoda object — nobs.brmcoda

<dl>

<dt>object</dt>
<dd>A <code>brmcoda</code> object.</dd>


<dt>...</dt>
<dd>Further arguments to be passed to methods.</dd>

</dl>

nobs.brmcoda: Extract Number of Observations from brmcoda object

Description

Usage

Arguments