build.sbp

Build a default sequential binary partition for <code>complr</code> object.
The default sequential binary partition is a pivot balance that allows
the effect of this first balance coordinate to be interpreted as the change
in the prediction for the dependent variable
when that given part increases while all remaining parts decrease by a common proportion.

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

build.sbp function

<dl><dt>parts</dt>
<dd>A character vector specifying the names of compositional variables to be used.</dd></dl>

Arguments

Build Sequential Binary Partition — build.sbp

<dl>

<dt>parts</dt>
<dd>A character vector specifying the names of compositional variables to be used.</dd>

</dl>

build.sbp: Build Sequential Binary Partition

Description

Usage

Value

Arguments

Examples