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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Insights
Last 30 days
This package has been downloaded 278 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 6 times.
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Last 365 days
This package has been downloaded 3,903 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jun 16, 2024 with 63 downloads.
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Dependencies
- Imports19 packages
- Suggests6 packages