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Select, weight and analyze complex sample data

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<h1>samplics</h1>

[<img src="https://github.com/survey-methods/samplics/workflows/Testing/badge.svg">](https://github.com/survey-methods/samplics/actions?query=workflow%3ATesting)
[<img src="https://github.com/survey-methods/samplics/workflows/Coverage/badge.svg">](https://github.com/survey-methods/samplics/actions?query=workflow%3ACoverage)
[![DOI](https://joss.theoj.org/papers/10.21105/joss.03376/status.svg)](https://doi.org/10.21105/joss.03376)
[<img src="https://pepy.tech/badge/samplics">](https://pepy.tech/project/samplics)

> [!IMPORTANT]
> **This repository is archived. Active development has moved to svy. 🚀**
>
> **svy** supersedes _samplics_ and provides a richer, more scalable ecosystem for complex survey design, estimation, and analysis.
>
> All new features, enhancements, and long-term support are delivered through **svy** and **svyLab**.
>
> 👉 **Get started:** https://svylab.com/docs

<br>

_Samplics_ was a Python package for design-based analysis of complex survey data, covering sample size calculation, selection, weighting, estimation, and small area estimation. It has been superseded by [svy](https://svylab.com/docs).

## Citation

If you use _samplics_ in published research, please cite:

**Diallo, M.S.** (2021). samplics: a Python Package for Selecting, Weighting and Analyzing Data from Complex Sampling Designs. _Journal of Open Source Software_, 6(68), 3376. https://doi.org/10.21105/joss.03376

```bibtex
@article{Diallo2021,
  author  = {Diallo, Mamadou S.},
  title   = {samplics: a Python Package for Selecting, Weighting and Analyzing Data from Complex Sampling Designs},
  journal = {Journal of Open Source Software},
  year    = {2021},
  volume  = {6},
  number  = {68},
  pages   = {3376},
  doi     = {10.21105/joss.03376},
  url     = {https://doi.org/10.21105/joss.03376}
}
```

## License

[MIT](https://github.com/survey-methods/samplics/blob/master/license.txt)

## Contact

Created by [svyLab](https://svylab.com) · [info@svylab.com](mailto:info@svylab.com)

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