nonprobsvy
Inference Based on Non-Probability Samples
Statistical inference with non-probability samples when auxiliary information from external sources such as probability samples or population totals or means is available. The package implements various methods such as inverse probability (propensity score) weighting, mass imputation and doubly robust approach. Details can be found in: Chen et al. (2020) doi:10.1080/01621459.2019.1677241, Yang et al. (2020) doi:10.1111/rssb.12354, Kim et al. (2021) doi:10.1111/rssa.12696, Yang et al. (2021) https://www150.statcan.gc.ca/n1/pub/12-001-x/2021001/article/00004-eng.htm and Wu (2022) https://www150.statcan.gc.ca/n1/pub/12-001-x/2022002/article/00002-eng.htm. For details on the package and its functionalities see doi:10.48550/arXiv.2504.04255.
- GitHub
- https://ncn-foreigners.ue.poznan.pl/nonprobsvy/
- File a bug report
- nonprobsvy results
- nonprobsvy.pdf
- Version0.2.2
- R versionR (≥ 4.0.0)
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- Languageen-US
- nonprobsvy citation info
- Last release05/24/2025
Documentation
Team
Maciej Beręsewicz
MaintainerShow author detailsPiotr Chlebicki
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Dependencies
- Depends1 package
- Imports10 packages
- Suggests3 packages
- Linking To2 packages