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multilevelcoda  

Estimate Bayesian Multilevel Models for Compositional Data
View on CRAN: Click here


Download and install multilevelcoda package within the R console
Install from CRAN:
install.packages("multilevelcoda")

Install from Github:
library("remotes")
install_github("cran/multilevelcoda")

Install by package version:
library("remotes")
install_version("multilevelcoda", "1.3.3")



Attach the package and use:
library("multilevelcoda")
Maintained by
Flora Le
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-01-13
Latest Update: 2025-05-25
Description:
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.
How to cite:
Flora Le (2023). multilevelcoda: Estimate Bayesian Multilevel Models for Compositional Data. R package version 1.3.3, https://cran.r-project.org/web/packages/multilevelcoda. Accessed 30 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:33), 1.0.0 (2023-01-13 20:10), 1.1.0 (2023-06-16 16:20), 1.2.0 (2023-08-12 16:50), 1.2.1 (2023-08-13 14:40), 1.2.3 (2024-03-11 00:00), 1.3.0.1 (2024-06-30 09:20), 1.3.0.2 (2024-07-09 16:50), 1.3.0 (2024-06-11 11:30), 1.3.1 (2024-11-23 16:30), 1.3.2 (2025-05-25 08:00)
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Complete documentation for multilevelcoda
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