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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Last 30 days
This package has been downloaded 284 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 10 times.
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Last 365 days
This package has been downloaded 3,907 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jun 16, 2024 with 63 downloads.
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Dependencies
- Imports19 packages
- Suggests6 packages