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pigauto 0.10.0.9000

Get started
- Knitted vignettes
- Get started
- Common pitfalls / FAQ
- Mixed-type traits
- Propagating tree uncertainty
- GNN architecture and the math behind pigauto
- Per-trait benches
- Continuous (BM / OU / regime / nonlinear)
- Binary (signal strength sweep)
- Ordinal (level count sweep)
- Count (Poisson / NegBin)
- Categorical (K-level sweep)
- Proportion (signal sweep)
- Zero-inflated counts (zero fraction sweep)
- Cross-dataset benches and simulations
- AVONET missingness sweep (20 / 50 / 80 %)
- Missingness mechanisms (MCAR / MAR / MNAR)
- Tree uncertainty (Rubin's rules, 10 posterior trees)
- Delhey 5,809-species birds
- Multi-observation imputation (CTmax-like)
- Covariate effectiveness (simulation sweep)
Reference
Changelog

License

YEAR: 2025
COPYRIGHT HOLDER: Shinichi Nakagawa

Developed by Shinichi Nakagawa.

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