florale/multilevelcoda: Estimate Bayesian Multilevel Models for Compositional Data

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.

Getting started

Package details

Maintainer
LicenseGPL (>= 3)
Version1.0.0
URL https://florale.github.io/multilevelcoda/ https://github.com/florale/multilevelcoda
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("florale/multilevelcoda")
florale/multilevelcoda documentation built on Jan. 27, 2023, 3:56 p.m.