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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. Details can be found in: Wu et al. (2020) <doi:10.1080/01621459.2019.1677241>, Kim et al. (2021) <doi:10.1111/rssa.12696>, Wu et al. (2023) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2022002/article/00002-eng.htm>, Kim et al. (2021) <https://www150.statcan.gc.ca/n1/pub/12-001-x/2021001/article/00004-eng.htm>, Kim et al. (2020) <doi:10.1111/rssb.12354>.
| Version: |
0.1.1 |
| Depends: |
R (≥ 4.0.0), survey |
| Imports: |
maxLik, stats, Matrix, MASS, ncvreg, mathjaxr, RANN, Rcpp (≥
1.0.12), nleqslv, doParallel, foreach, parallel |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Suggests: |
tinytest, covr, sampling, spelling |
| Published: |
2024-11-14 |
| DOI: |
10.32614/CRAN.package.nonprobsvy |
| Author: |
Łukasz Chrostowski [aut, cre],
Maciej Beręsewicz 
[aut, ctb],
Piotr Chlebicki [aut, ctb] |
| Maintainer: |
Łukasz Chrostowski <lukchr at st.amu.edu.pl> |
| BugReports: |
https://github.com/ncn-foreigners/nonprobsvy/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://github.com/ncn-foreigners/nonprobsvy,
https://ncn-foreigners.github.io/nonprobsvy/ |
| NeedsCompilation: |
yes |
| Language: |
en-US |
| Materials: |
README NEWS |
| In views: |
OfficialStatistics |
| CRAN checks: |
nonprobsvy results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=nonprobsvy
to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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