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This is a re-submission with minor improvements
describe_draws()extracts structured metadata from rbmi draws objects, including method type, formula, sample count, and (for Bayesian methods) MCMC convergence diagnostics (ESS, Rhat).describe_imputation()extracts imputation metadata including method, number of imputations (M), reference arm mappings, and a missingness breakdown by visit and treatment arm.pool_to_ard()gains ananalysis_objparameter that enriches the ARD with MI diagnostic statistics (FMI, lambda, RIV, Barnard-Rubin adjusted df, relative efficiency) when the pooling method is Rubin's rules.
The package was tested in the following environments:
- macOS, R release (Local Machine)
- Windows, R release (Local Machine)
- Fedora, R release (Local Machine)
- macOS, devel (macOS builder)