Select, weight and analyze complex sample data
Project description
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
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 It has been superseded by svy.
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
@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
Contact
Created by svyLab · info@svylab.com
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