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
Browse package contents
Package details |
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| Maintainer | |
| License | GPL (>= 3) |
| Version | 1.2.3 |
| URL | https://florale.github.io/multilevelcoda/ https://github.com/florale/multilevelcoda |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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