tidybayes
Tidy Data and 'Geoms' for Bayesian Models
Compose data for and extract, manipulate, and visualize posterior draws from Bayesian models ('JAGS', 'Stan', 'rstanarm', 'brms', 'MCMCglmm', 'coda', ...) in a tidy data format. Functions are provided to help extract tidy data frames of draws from Bayesian models and that generate point summaries and intervals in a tidy format. In addition, 'ggplot2' 'geoms' and 'stats' are provided for common visualization primitives like points with multiple uncertainty intervals, eye plots (intervals plus densities), and fit curves with multiple, arbitrary uncertainty bands.
- Version3.0.7
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Languageen-US
- tidybayes citation info
- Last release09/15/2024
Documentation
- VignetteExtracting and visualizing tidy draws from brms models
- VignetteUsing tidybayes with the posterior package
- VignetteExtracting and visualizing tidy draws from rstanarm models
- VignetteExtracting and visualizing tidy residuals from Bayesian models
- VignetteUsing tidy data with Bayesian models
- MaterialNEWS
Team
Matthew Kay
Timothy Mastny
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- Imports14 packages
- Suggests31 packages
- Reverse Imports12 packages
- Reverse Suggests2 packages