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svyder
0.2.0
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Reference
Articles
--- Applied track ---
Getting Started with svyder
Choosing the Variance Target
The Compute-Classify-Correct Pipeline
Case Study: NSECE-Style Survey Data
Backends: brms, cmdstanr, rstanarm, survey
--- Method track ---
The Design Effect Ratio: Definition and Regimes
The Declared Variance Target: Bread and Meat
Decomposition Theorems and the Conservation Law
Classification and Selective Correction
Changelog
License
YEAR: 2026 COPYRIGHT HOLDER: JoonHo Lee
