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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>.
Getting started
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Package details |
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| Author | Łukasz Chrostowski [aut, ctb], Maciej Beręsewicz [aut, cre] (<https://orcid.org/0000-0002-8281-4301>), Piotr Chlebicki [aut, ctb] (<https://orcid.org/0009-0006-4867-7434>) |
| Maintainer | Maciej Beręsewicz <maciej.beresewicz@ue.poznan.pl> |
| License | MIT + file LICENSE |
| Version | 0.2.0 |
| URL | https://github.com/ncn-foreigners/nonprobsvy https://ncn-foreigners.github.io/nonprobsvy/ |
| Package repository | View on CRAN |
| Installation |
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