samplics

DOI

⚠️ samplics is no longer maintained. Use svy instead.

svy is the successor to samplics, from the same author: the same survey methodology (design, sampling, weighting, estimation, small area models), rebuilt on Polars with a Rust core, an end-to-end workflow through reporting, and active development.

pip install svy

samplics 0.6.x stays on PyPI and keeps working, but no bugs will be fixed and no new Python versions will be supported.


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 It has been superseded by svy.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

MIT

Contact

Created by svyLab · info@svylab.com

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for msdiallo from gravatar.com msdiallo

Credits

Author: Mamadou S Diallo

Requires

Python <3.15, >=3.10

Tags

estimation sample sampling survey weighting

Classifiers

Report project as malware

Metadata

Project links

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Latest release

1 maintainer

PyPI data
Data sourced directly from PyPI's database.
Avatar for msdiallo from gravatar.com msdiallo

Credits

Author: Mamadou S Diallo

Requires

Python <3.15, >=3.10

Tags

estimation sample sampling survey weighting

Classifiers

Report project as malware

Release files for samplics 0.6.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for samplics 0.6.1
File Size Uploaded
samplics-0.6.1.tar.gz 2.5 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for samplics 0.6.1
File Interpreter ABI Platform
samplics-0.6.1-py3-none-any.whl 244.0 kB Python 3 none any Details

Total release size: 2.7 MB

Release files / samplics-0.6.1.tar.gz

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