bayesboot: Implementation of Rubin's Bayesian Bootstrap

Functions for performing the Bayesian bootstrap as introduced by Rubin (1981). The implementation can handle summary statistics that work on a weighted version of the data and on a resampled data set. The package was authored by Rasmus Bååth.

Use Cases

• Perform Bayesian bootstrap inference based on the method described by Rubin (1981)
• Summarize posterior distributions based on weighted summary statistics
• Calculate uncertainty estimates based on resampled data sets

Strengths

• Implements a specific, peer-reviewed statistical method from Rubin (1981)
• Handles two distinct types of summary statistics as described in the documentation

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download
• Row count and column definitions are unknown, which may limit suitability assessment

Provenance

Source

Rasmus Bååth

Collection Method

Software implementation of a statistical algorithm.