hurdlebb 0.1.0
- Initial release.
- Two-part hurdle beta-binomial model via CmdStan.
- Four model variants: base, weighted, SVC, SVC + weighted.
- Survey-weighted pseudo-posterior inference.
- Sandwich variance estimation and Cholesky posterior recalibration.
- Average marginal effects with extensive/intensive margin decomposition.
- LOO-CV model comparison and posterior predictive checks.
- Three built-in synthetic datasets based on NSECE 2019.
- Five vignettes covering full analysis workflow.