as.data.frame.complr

as.matrix.complr

Extract amounts and compositions in conventional formats
as data.frames, matrices, or arrays.

Implement Bayesian multilevel modelling for compositional data.
Compute multilevel compositional data and
perform log-ratio transforms 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 (2025) <doi:10.1037/met0000750>,
Le, Dumuid, Stanford, and Wiley (2025) <doi:10.1080/00273171.2025.2565598>.

Flora Le

multilevelcoda

Estimate Bayesian Multilevel Models for Compositional Data

Joshua F. Wiley

as.data.frame.complr function

<dl><dt>x</dt>
<dd>An object of class <code>complr</code>.</dd>
<dt>row.names, optional</dt>
<dd>Unused and only added for consistency with
the <code><a href="/link/as.data.frame?package=multilevelcoda&version=1.3.3" data-mini-rdoc="multilevelcoda::as.data.frame">as.data.frame</a></code> generic.</dd>
<dt>...</dt>
<dd>generic argument, not in use.</dd></dl>

Arguments

Extract amounts and compositions in conventional formats
as data.frames, matrices, or arrays. — as.data.frame.complr

<dl>

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


<dt>row.names, optional</dt>
<dd>Unused and only added for consistency with
the <code><a href='https://rdrr.io/r/base/as.data.frame.html'>as.data.frame</a></code> generic.</dd>


<dt>...</dt>
<dd>generic argument, not in use.</dd>

</dl>

as.data.frame.complr: Extract amounts and compositions in conventional formats as data.frames, matrices, or arrays.

Description

Usage

Arguments