Unified complex-survey framework: design, calibration, replicate variance, GLM, quantiles, dynamic reports.
Project description
pysurveyx (v0.21.0)
A unified Python framework for complex surveys, inspired by R's survey:
- Sampling designs (strata/PSU/SSU), FPCs, replicate-weight variance (BRR/Fay/JK/bootstrap)
- Calibration: raking, bounded, entropy, entropy_bounded (+ multiway)
- Estimators: totals, means, proportions, ratios, GLM, quantiles (+ Woodruff SEs)
- Quantile regression with replicate SEs (pinball & smoothed SAL)
- Dynamic, self-contained HTML reports with Plotly
End-to-end
python examples/end_to_end.py --out report_out
# Produces: report_out.html (self-contained) and optional PDF
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Built via Sphinx and auto-published to GitHub Pages on tag pushes.
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