Posterior: Tools for Working with Posterior Distribution Samples

A software package providing tools for users and developers of Bayesian models. The package, authored by Paul‐Christian Bürkner, offers methods for converting, manipulating, and summarizing draws from posterior or prior distributions. It includes lightweight implementations of state-of-the-art posterior inference diagnostics.

Use Cases

• Convert posterior samples between different formats based on the package's core conversion functionality.
• Perform operations like subsetting or binding on draws from distributions using the provided consistent methods.
• Generate summaries of draws in convenient formats for analysis and reporting.
• Apply posterior inference diagnostics to assess model convergence and performance.

Strengths

• Provides tools for both end-users and package developers, indicating a dual-purpose design.
• Implements state-of-the-art posterior inference diagnostics, referencing Vehtari et al. (2021).
• Aims for efficient conversion between many different formats of draws from distributions.

Limitations

• Row count, file formats, and data size are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Paul‐Christian Bürkner

Collection Method

Software package development for statistical computing.

Time Range

Temporal coverage is not applicable for a software tool.

Freshness

Last updated date is unknown.

Geography

Spatial coverage is not applicable for a software tool.