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.
- Version1.3.0.2
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release07/09/2024
Documentation
- VignetteIntroduction to Bayesian Compositional Multilevel Modelling
- VignetteMultilevel Models with Compositional Predictors
- VignetteMultilevel Model with Compositional Outcomes
- VignetteCompositional Substitution Multilevel Models
- VignetteImproving MCMC Sampling for Bayesian Compositional Multilevel Models
- MaterialREADME
- MaterialNEWS
Team
Flora Le
Joshua F. Wiley
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- Imports19 packages
- Suggests6 packages