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 version≥ 4.0.0
- LicenseGPL (≥ 3)
- Needs compilation?No
- Languageen-US
- tidybayes citation info
- Last release09/15/2024
Documentation
- VignetteExtracting and visualizing tidy draws from brms models
- Vignettesource
- VignetteR code
- VignetteUsing tidybayes with the posterior package
- Vignettesource
- VignetteR code
- VignetteExtracting and visualizing tidy draws from rstanarm models
- Vignettesource
- VignetteR code
- VignetteExtracting and visualizing tidy residuals from Bayesian models
- Vignettesource
- VignetteR code
- VignetteUsing tidy data with Bayesian models
- Vignettesource
- VignetteR code
- MaterialNEWS
Team
Matthew Kay
Timothy Mastny
Show author detailsRolesContributor
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- Depends1 package
- Imports15 packages
- Suggests31 packages
- Reverse Imports13 packages
- Reverse Suggests2 packages