multilevelcoda

Estimate Bayesian Multilevel Models for Compositional Data

CRAN Package

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


Team


Insights

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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8 downloadsMar 3, 2025
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The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

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.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


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Dependencies

  • Imports19 packages
  • Suggests6 packages