Estimate Bayesian Multilevel Models for Compositional Data

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Documentation for package ‘multilevelcoda’ version 1.0.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

basesub	Base Pairwise Substitution
brmcoda	Fit Bayesian generalised (non-)linear multilevel compositional model via full Bayesian inference using brms,
bsub	Between-person Basic Substitution Model.
bsubmargins	Between-person Average Marginal Substitution Model.
compilr	Compute useful indices from a (dataset of) multilevel composition(s)
mcompd	Multilevel Compositional Data
plotsub	Substitution plot
psub	Possible Pairwise Substitutions
sbp	Sequential Binary Partition
submargins	Average Marginal Substitution Model.
substitution	Substitution Model.
wsub	Within-person Basic Substitution Model
wsubmargins	Between-person Average Marginal Substitution Model.