Tidybayes: Tidy Data and Geoms for Bayesian Model Outputs

Tidybayes is an R package created by Matthew Kay for composing data and extracting, manipulating, and visualizing posterior draws from Bayesian models. It provides functions to extract tidy data frames of draws from models using JAGS, Stan, rstanarm, brms, and other backends. The package also includes ggplot2 geoms and stats for visualizing points with uncertainty intervals, eye plots, and fit curves with multiple uncertainty bands.

Use Cases

• Extracting tidy data frames of posterior draws from models built with JAGS, Stan, or other Bayesian frameworks.
• Generating point summaries and credible intervals in a tidy data format for reporting.
• Creating visualizations like eye plots (intervals plus densities) using provided ggplot2 geoms.
• Plotting fit curves with multiple, arbitrary uncertainty bands for model results.

Strengths

• Provides a unified tidy data interface for multiple popular Bayesian modeling backends (JAGS, Stan, rstanarm, brms, MCMCglmm, coda).
• Includes specialized ggplot2 visualization primitives for common Bayesian plotting tasks.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• License is listed as closed, which may restrict usage.

Provenance

Source

Matthew Kay

Collection Method

Software package for processing output from Bayesian models.

Time Range

null

Freshness

Last update date is unknown; freshness unverified.

Geography

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